[{"id":3436113,"name":"Taco Grande","trackName":"Taco Grande","artistName":"“Weird Al” Yankovic","albumName":"Squeeze Box: The Complete Works of “Weird Al” Yankovic","duration":228.0,"instrumental":false,"hasWordSync":true,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.24]Taco\n[00:16.50]Grande\n[00:21.19]Taco\n[00:25.42]Grande\n[00:26.98]Yo quiero chimichangas y chile colorado\n[00:29.25]Yo tengo el dinero para un steak picado\n[00:31.52]Las flautas y tamales, siempre muy bueno\n[00:33.91]Y el chile relleno\n[00:35.52]You see, I just gotta have a tostada, carne asada\n[00:38.69]That's right, I want the whole enchilada\n[00:40.57]My only addiction has to do with a flour tortilla\n[00:43.45]I need a quesadilla\n[00:44.74]I love to stuff my face with tacos al carbón\n[00:47.51]With my friends, or when I'm all alone\n[00:49.45]Yo tengo mucho hambre y ahora lo quiero\n[00:51.90]Un burrito ranchero\n[00:54.18]So give me something spicy and hot, now\n[00:56.76]Break out the menu, what you got, now?\n[00:58.78]Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:01.34]You better make sure the beans are refried\n[01:06.88]Taco\n[01:11.02]Grande\n[01:15.85]Taco\n[01:20.37]Grande\n[01:21.21]Well, there's not a taco big enough for a man like me\n[01:23.95]That's why I order two or three\n[01:25.75]Let me give you a tip, just try a nacho chip\n[01:28.53]It's really good with bean dip\n[01:30.28]I eat uno, dos, tres, cuatro burritos\n[01:32.94]Pretty soon I can't fit in my Speedos\n[01:34.79]Well, I hope they feed us lots of chicken fajitas\n[01:37.52]And a pitcher of margaritas\n[01:39.24]Well, the combination plates all come with beans and rice\n[01:42.08]The taquitos here are very nice\n[01:43.95]Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:46.83]And could you make that separate checks, please?\n[01:52.13]Taco\n[01:56.78]Grande\n[02:01.15]Taco\n[02:05.45]Grande\n[02:07.07]\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:10.52]Tenemos muchos platos muy sabrosos\n[02:12.71]Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:16.92]Sus ojos se quemarán, su estomago estará en fuego\n[02:19.74]Se quedarán en el baño por una semana\n[02:21.96]Entiendes lo que digo gringo estúpido tonto?\"\n[02:24.82]Well, the food is coming, I can hardly wait\n[02:27.42]Now watch your fingers, careful hot plate!\n[02:29.23]What you think you're doing with my chile con queso?\n[02:31.92]Well, if you want some, just say so\n[02:34.07]Oh boy, pico de gallo\n[02:36.62]They sure don't make it like this in Ohio\n[02:38.53]No gracias, yo quiero jalepeños, nada más\n[02:41.03]You can toss away the hot sauce\n[02:42.98]¿Dónde están los nachos? Holy frijole!\n[02:45.35]You better get me a bowl of guacamole\n[02:47.39]¿Y usted, Eugene? Why's your face turning green?\n[02:50.04]Don't you like pinto bean?\n[02:51.89]You want some more cinnamon crispas?\n[02:54.67]If you don't, hasta la vista\n[02:56.08]Just take the rest home in a doggie bag if you wanna\n[02:59.38]You can finish it mañana\n[03:00.80]Well, it's been a pleasure, I can't eat no more\n[03:03.43]Señor, la cuenta, por favor\n[03:05.17]If you ain't tried real Mexican cooking, well, you oughta\n[03:08.36]Just don't drink the water\n[03:13.56]Taco\n[03:18.21]Grande\n[03:22.64]Taco\n[03:27.32]Grande\n[03:31.67]Taco\n[03:36.31]Grande","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: “Weird Al” Yankovic\n  album: 'Squeeze Box: The Complete Works of “Weird Al” Yankovic'\n  duration_ms: 228000\n  instrumental: false\n  language: en\nlines:\n- text: Taco\n  start_ms: 12240\n  end_ms: 12720\n  words:\n  - text: Taco\n    start_ms: 12240\n- text: Grande\n  start_ms: 16500\n  end_ms: 16500\n  words:\n  - text: Grande\n    start_ms: 16500\n- text: Taco\n  start_ms: 21190\n  end_ms: 21250\n  words:\n  - text: Taco\n    start_ms: 21190\n- text: Grande\n  start_ms: 25420\n  end_ms: 26380\n  words:\n  - text: Grande\n    start_ms: 25420\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26980\n  end_ms: 29060\n  words:\n  - text: 'Yo '\n    start_ms: 26980\n  - text: 'quiero '\n    start_ms: 27100\n  - text: 'chimichangas '\n    start_ms: 27380\n  - text: 'y '\n    start_ms: 28140\n  - text: 'chile '\n    start_ms: 28220\n  - text: colorado\n    start_ms: 28540\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29250\n  end_ms: 31310\n  words:\n  - text: 'Yo '\n    start_ms: 29250\n  - text: 'tengo '\n    start_ms: 29370\n  - text: 'el '\n    start_ms: 29710\n  - text: 'dinero '\n    start_ms: 29830\n  - text: 'para '\n    start_ms: 30330\n  - text: 'un '\n    start_ms: 30570\n  - text: 'steak '\n    start_ms: 30690\n  - text: picado\n    start_ms: 30910\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31520\n  end_ms: 33720\n  words:\n  - text: 'Las '\n    start_ms: 31520\n  - text: 'flautas '\n    start_ms: 31660\n  - text: 'y '\n    start_ms: 32000\n  - text: 'tamales, '\n    start_ms: 32120\n  - text: 'siempre '\n    start_ms: 32659\n  - text: 'muy '\n    start_ms: 33100\n  - text: bueno\n    start_ms: 33320\n- text: Y el chile relleno\n  start_ms: 33910\n  end_ms: 35210\n  words:\n  - text: 'Y '\n    start_ms: 33910\n  - text: 'el '\n    start_ms: 34010\n  - text: 'chile '\n    start_ms: 34130\n  - text: relleno\n    start_ms: 34590\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35520\n  end_ms: 38400\n  words:\n  - text: 'You '\n    start_ms: 35520\n  - text: 'see, '\n    start_ms: 35620\n  - text: 'I '\n    start_ms: 35980\n  - text: 'just '\n    start_ms: 36120\n  - text: 'gotta '\n    start_ms: 36360\n  - text: 'have '\n    start_ms: 36760\n  - text: 'a '\n    start_ms: 36920\n  - text: 'tostada, '\n    start_ms: 37020\n  - text: 'carne '\n    start_ms: 37560\n  - text: asada\n    start_ms: 37940\n- text: That's right, I want the whole enchilada\n  start_ms: 38690\n  end_ms: 40230\n  words:\n  - text: 'That''s '\n    start_ms: 38690\n  - text: 'right, '\n    start_ms: 38890\n  - text: 'I '\n    start_ms: 39070\n  - text: 'want '\n    start_ms: 39130\n  - text: 'the '\n    start_ms: 39290\n  - text: 'whole '\n    start_ms: 39390\n  - text: enchilada\n    start_ms: 39610\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40570\n  end_ms: 43190\n  words:\n  - text: 'My '\n    start_ms: 40570\n  - text: 'only '\n    start_ms: 40750\n  - text: 'addiction '\n    start_ms: 41030\n  - text: 'has '\n    start_ms: 41530\n  - text: 'to '\n    start_ms: 41690\n  - text: 'do '\n    start_ms: 41830\n  - text: 'with '\n    start_ms: 41970\n  - text: 'a '\n    start_ms: 42070\n  - text: 'flour '\n    start_ms: 42190\n  - text: tortilla\n    start_ms: 42510\n- text: I need a quesadilla\n  start_ms: 43450\n  end_ms: 44550\n  words:\n  - text: 'I '\n    start_ms: 43450\n  - text: 'need '\n    start_ms: 43530\n  - text: 'a '\n    start_ms: 43710\n  - text: quesadilla\n    start_ms: 43810\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44740\n  end_ms: 47040\n  words:\n  - text: 'I '\n    start_ms: 44740\n  - text: 'love '\n    start_ms: 44800\n  - text: 'to '\n    start_ms: 44960\n  - text: 'stuff '\n    start_ms: 45080\n  - text: 'my '\n    start_ms: 45300\n  - text: 'face '\n    start_ms: 45540\n  - text: 'with '\n    start_ms: 45820\n  - text: 'tacos '\n    start_ms: 45960\n  - text: 'al '\n    start_ms: 46280\n  - text: carbón\n    start_ms: 46420\n- text: With my friends, or when I'm all alone\n  start_ms: 47510\n  end_ms: 49010\n  words:\n  - text: 'With '\n    start_ms: 47510\n  - text: 'my '\n    start_ms: 47630\n  - text: 'friends, '\n    start_ms: 47790\n  - text: 'or '\n    start_ms: 48110\n  - text: 'when '\n    start_ms: 48210\n  - text: 'I''m '\n    start_ms: 48390\n  - text: 'all '\n    start_ms: 48530\n  - text: alone\n    start_ms: 48670\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49450\n  end_ms: 51900\n  words:\n  - text: 'Yo '\n    start_ms: 49450\n  - text: 'tengo '\n    start_ms: 49567\n  - text: 'mucho '\n    start_ms: 49839\n  - text: 'hambre '\n    start_ms: 50306\n  - text: 'y '\n    start_ms: 50714\n  - text: 'ahora '\n    start_ms: 50831\n  - text: 'lo '\n    start_ms: 51161\n  - text: quiero\n    start_ms: 51453\n- text: Un burrito ranchero\n  start_ms: 51900\n  end_ms: 53300\n  words:\n  - text: 'Un '\n    start_ms: 51900\n  - text: 'burrito '\n    start_ms: 52020\n  - text: ranchero\n    start_ms: 52560\n- text: So give me something spicy and hot, now\n  start_ms: 54180\n  end_ms: 56680\n  words:\n  - text: 'So '\n    start_ms: 54180\n  - text: 'give '\n    start_ms: 54480\n  - text: 'me '\n    start_ms: 54760\n  - text: 'something '\n    start_ms: 55000\n  - text: 'spicy '\n    start_ms: 55440\n  - text: 'and '\n    start_ms: 55920\n  - text: 'hot, '\n    start_ms: 56120\n  - text: now\n    start_ms: 56420\n- text: Break out the menu, what you got, now?\n  start_ms: 56760\n  end_ms: 58280\n  words:\n  - text: 'Break '\n    start_ms: 56760\n  - text: 'out '\n    start_ms: 56960\n  - text: 'the '\n    start_ms: 57080\n  - text: 'menu, '\n    start_ms: 57200\n  - text: 'what '\n    start_ms: 57480\n  - text: 'you '\n    start_ms: 57660\n  - text: 'got, '\n    start_ms: 57780\n  - text: now?\n    start_ms: 58060\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 58780\n  end_ms: 61340\n  words:\n  - text: 'Oh, '\n    start_ms: 58780\n  - text: 'would '\n    start_ms: 58891\n  - text: 'you '\n    start_ms: 59040\n  - text: 'tell '\n    start_ms: 59151\n  - text: 'the '\n    start_ms: 59299\n  - text: 'waiter '\n    start_ms: 59411\n  - text: 'I''d '\n    start_ms: 59745\n  - text: 'like '\n    start_ms: 59893\n  - text: 'to '\n    start_ms: 60023\n  - text: 'have '\n    start_ms: 60171\n  - text: 'sour '\n    start_ms: 60338\n  - text: 'cream '\n    start_ms: 60579\n  - text: 'on '\n    start_ms: 60858\n  - text: 'the '\n    start_ms: 60932\n  - text: side\n    start_ms: 61080\n- text: You better make sure the beans are refried\n  start_ms: 61340\n  end_ms: 62840\n  words:\n  - text: 'You '\n    start_ms: 61340\n  - text: 'better '\n    start_ms: 61420\n  - text: 'make '\n    start_ms: 61560\n  - text: 'sure '\n    start_ms: 61700\n  - text: 'the '\n    start_ms: 61880\n  - text: 'beans '\n    start_ms: 61980\n  - text: 'are '\n    start_ms: 62200\n  - text: refried\n    start_ms: 62320\n- text: Taco\n  start_ms: 66880\n  end_ms: 67380\n  words:\n  - text: Taco\n    start_ms: 66880\n- text: Grande\n  start_ms: 71020\n  end_ms: 71860\n  words:\n  - text: Grande\n    start_ms: 71020\n- text: Taco\n  start_ms: 75850\n  end_ms: 76390\n  words:\n  - text: Taco\n    start_ms: 75850\n- text: Grande\n  start_ms: 80370\n  end_ms: 80370\n  words:\n  - text: Grande\n    start_ms: 80370\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81210\n  end_ms: 83930\n  words:\n  - text: 'Well, '\n    start_ms: 81210\n  - text: 'there''s '\n    start_ms: 81330\n  - text: 'not '\n    start_ms: 81630\n  - text: 'a '\n    start_ms: 81890\n  - text: 'taco '\n    start_ms: 82050\n  - text: 'big '\n    start_ms: 82470\n  - text: 'enough '\n    start_ms: 82670\n  - text: 'for '\n    start_ms: 82890\n  - text: 'a '\n    start_ms: 83070\n  - text: 'man '\n    start_ms: 83210\n  - text: 'like '\n    start_ms: 83470\n  - text: me\n    start_ms: 83750\n- text: That's why I order two or three\n  start_ms: 83950\n  end_ms: 85390\n  words:\n  - text: 'That''s '\n    start_ms: 83950\n  - text: 'why '\n    start_ms: 84130\n  - text: 'I '\n    start_ms: 84310\n  - text: 'order '\n    start_ms: 84430\n  - text: 'two '\n    start_ms: 84690\n  - text: 'or '\n    start_ms: 84910\n  - text: three\n    start_ms: 85070\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 85750\n  end_ms: 88030\n  words:\n  - text: 'Let '\n    start_ms: 85750\n  - text: 'me '\n    start_ms: 85910\n  - text: 'give '\n    start_ms: 86050\n  - text: 'you '\n    start_ms: 86270\n  - text: 'a '\n    start_ms: 86410\n  - text: 'tip, '\n    start_ms: 86530\n  - text: 'just '\n    start_ms: 86790\n  - text: 'try '\n    start_ms: 86910\n  - text: 'a '\n    start_ms: 87110\n  - text: 'nacho '\n    start_ms: 87210\n  - text: chip\n    start_ms: 87710\n- text: It's really good with bean dip\n  start_ms: 88530\n  end_ms: 89750\n  words:\n  - text: 'It''s '\n    start_ms: 88530\n  - text: 'really '\n    start_ms: 88670\n  - text: 'good '\n    start_ms: 88930\n  - text: 'with '\n    start_ms: 89070\n  - text: 'bean '\n    start_ms: 89210\n  - text: dip\n    start_ms: 89490\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90280\n  end_ms: 92820\n  words:\n  - text: 'I '\n    start_ms: 90280\n  - text: 'eat '\n    start_ms: 90400\n  - text: 'uno, '\n    start_ms: 90740\n  - text: 'dos, '\n    start_ms: 91120\n  - text: 'tres, '\n    start_ms: 91460\n  - text: 'cuatro '\n    start_ms: 91860\n  - text: burritos\n    start_ms: 92160\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92940\n  end_ms: 94700\n  words:\n  - text: 'Pretty '\n    start_ms: 92940\n  - text: 'soon '\n    start_ms: 93240\n  - text: 'I '\n    start_ms: 93640\n  - text: 'can''t '\n    start_ms: 93780\n  - text: 'fit '\n    start_ms: 94060\n  - text: 'in '\n    start_ms: 94220\n  - text: 'my '\n    start_ms: 94300\n  - text: Speedos\n    start_ms: 94440\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 94790\n  end_ms: 97170\n  words:\n  - text: 'Well, '\n    start_ms: 94790\n  - text: 'I '\n    start_ms: 94970\n  - text: 'hope '\n    start_ms: 95050\n  - text: 'they '\n    start_ms: 95310\n  - text: 'feed '\n    start_ms: 95510\n  - text: 'us '\n    start_ms: 95770\n  - text: 'lots '\n    start_ms: 95870\n  - text: 'of '\n    start_ms: 96050\n  - text: 'chicken '\n    start_ms: 96150\n  - text: fajitas\n    start_ms: 96450\n- text: And a pitcher of margaritas\n  start_ms: 97520\n  end_ms: 99120\n  words:\n  - text: 'And '\n    start_ms: 97520\n  - text: 'a '\n    start_ms: 97700\n  - text: 'pitcher '\n    start_ms: 97820\n  - text: 'of '\n    start_ms: 98200\n  - text: margaritas\n    start_ms: 98240\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 99240\n  end_ms: 101860\n  words:\n  - text: 'Well, '\n    start_ms: 99240\n  - text: 'the '\n    start_ms: 99380\n  - text: 'combination '\n    start_ms: 99520\n  - text: 'plates '\n    start_ms: 100460\n  - text: 'all '\n    start_ms: 100780\n  - text: 'come '\n    start_ms: 100900\n  - text: 'with '\n    start_ms: 101040\n  - text: 'beans '\n    start_ms: 101200\n  - text: 'and '\n    start_ms: 101440\n  - text: rice\n    start_ms: 101620\n- text: The taquitos here are very nice\n  start_ms: 102080\n  end_ms: 103640\n  words:\n  - text: 'The '\n    start_ms: 102080\n  - text: 'taquitos '\n    start_ms: 102200\n  - text: 'here '\n    start_ms: 102780\n  - text: 'are '\n    start_ms: 102920\n  - text: 'very '\n    start_ms: 103040\n  - text: nice\n    start_ms: 103300\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103950\n  end_ms: 106610\n  words:\n  - text: 'Now '\n    start_ms: 103950\n  - text: 'I''m '\n    start_ms: 104110\n  - text: 'down '\n    start_ms: 104210\n  - text: 'on '\n    start_ms: 104390\n  - text: 'my '\n    start_ms: 104510\n  - text: 'knees, '\n    start_ms: 104650\n  - text: 'we '\n    start_ms: 104970\n  - text: 'need '\n    start_ms: 105070\n  - text: 'some '\n    start_ms: 105210\n  - text: 'extra '\n    start_ms: 105390\n  - text: 'tomatoes '\n    start_ms: 105630\n  - text: 'and '\n    start_ms: 106130\n  - text: cheese\n    start_ms: 106310\n- text: And could you make that separate checks, please?\n  start_ms: 106830\n  end_ms: 108570\n  words:\n  - text: 'And '\n    start_ms: 106830\n  - text: 'could '\n    start_ms: 106930\n  - text: 'you '\n    start_ms: 107090\n  - text: 'make '\n    start_ms: 107170\n  - text: 'that '\n    start_ms: 107330\n  - text: 'separate '\n    start_ms: 107470\n  - text: 'checks, '\n    start_ms: 107770\n  - text: please?\n    start_ms: 108050\n- text: Taco\n  start_ms: 112130\n  end_ms: 112630\n  words:\n  - text: Taco\n    start_ms: 112130\n- text: Grande\n  start_ms: 116780\n  end_ms: 117800\n  words:\n  - text: Grande\n    start_ms: 116780\n- text: Taco\n  start_ms: 121150\n  end_ms: 121690\n  words:\n  - text: Taco\n    start_ms: 121150\n- text: Grande\n  start_ms: 125450\n  end_ms: 126290\n  words:\n  - text: Grande\n    start_ms: 125450\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127070\n  end_ms: 130410\n  words:\n  - text: '\"Buenos '\n    start_ms: 127090\n  - text: 'noches, '\n    start_ms: 127350\n  - text: 'señor. '\n    start_ms: 127650\n  - text: 'bienvenido '\n    start_ms: 128190\n  - text: 'a '\n    start_ms: 128770\n  - text: 'Enrico''s '\n    start_ms: 128890\n  - text: 'Casa '\n    start_ms: 129629\n  - text: 'de '\n    start_ms: 129870\n  - text: Salsa\n    start_ms: 130009\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130520\n  end_ms: 132240\n  words:\n  - text: 'Tenemos '\n    start_ms: 130520\n  - text: 'muchos '\n    start_ms: 130839\n  - text: 'platos '\n    start_ms: 131160\n  - text: 'muy '\n    start_ms: 131559\n  - text: sabrosos\n    start_ms: 131779\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132710\n  end_ms: 136551\n  words:\n  - text: 'Si '\n    start_ms: 132710\n  - text: 'puedo '\n    start_ms: 132831\n  - text: 'recomendar '\n    start_ms: 133031\n  - text: 'el '\n    start_ms: 133611\n  - text: 'ardiente '\n    start_ms: 133771\n  - text: 'pollo '\n    start_ms: 134331\n  - text: 'al '\n    start_ms: 134651\n  - text: 'infierno '\n    start_ms: 134791\n  - text: 'muy '\n    start_ms: 135411\n  - text: delicioso\n    start_ms: 135751\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136920\n  end_ms: 139560\n  words:\n  - text: 'Sus '\n    start_ms: 136920\n  - text: 'ojos '\n    start_ms: 137100\n  - text: 'se '\n    start_ms: 137340\n  - text: 'quemarán, '\n    start_ms: 137440\n  - text: 'su '\n    start_ms: 138200\n  - text: 'estomago '\n    start_ms: 138280\n  - text: 'estará '\n    start_ms: 138740\n  - text: 'en '\n    start_ms: 139080\n  - text: fuego\n    start_ms: 139300\n- text: Se quedarán en el baño por una semana\n  start_ms: 139740\n  end_ms: 141580\n  words:\n  - text: 'Se '\n    start_ms: 139740\n  - text: 'quedarán '\n    start_ms: 139860\n  - text: 'en '\n    start_ms: 140260\n  - text: 'el '\n    start_ms: 140360\n  - text: 'baño '\n    start_ms: 140500\n  - text: 'por '\n    start_ms: 140780\n  - text: 'una '\n    start_ms: 140960\n  - text: semana\n    start_ms: 141160\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141960\n  end_ms: 144520\n  words:\n  - text: 'Entiendes '\n    start_ms: 141960\n  - text: 'lo '\n    start_ms: 142380\n  - text: 'que '\n    start_ms: 142500\n  - text: 'digo '\n    start_ms: 142700\n  - text: 'gringo '\n    start_ms: 143120\n  - text: 'estúpido '\n    start_ms: 143460\n  - text: tonto?\"\n    start_ms: 144020\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144820\n  end_ms: 146900\n  words:\n  - text: 'Well, '\n    start_ms: 144820\n  - text: 'the '\n    start_ms: 144960\n  - text: 'food '\n    start_ms: 145080\n  - text: 'is '\n    start_ms: 145300\n  - text: 'coming, '\n    start_ms: 145500\n  - text: 'I '\n    start_ms: 145960\n  - text: 'can '\n    start_ms: 146020\n  - text: 'hardly '\n    start_ms: 146160\n  - text: wait\n    start_ms: 146600\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147420\n  end_ms: 148920\n  words:\n  - text: 'Now '\n    start_ms: 147420\n  - text: 'watch '\n    start_ms: 147540\n  - text: 'your '\n    start_ms: 147720\n  - text: 'fingers, '\n    start_ms: 147820\n  - text: 'careful '\n    start_ms: 148120\n  - text: 'hot '\n    start_ms: 148400\n  - text: plate!\n    start_ms: 148620\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149230\n  end_ms: 151670\n  words:\n  - text: 'What '\n    start_ms: 149230\n  - text: 'you '\n    start_ms: 149410\n  - text: 'think '\n    start_ms: 149510\n  - text: 'you''re '\n    start_ms: 149690\n  - text: 'doing '\n    start_ms: 149990\n  - text: 'with '\n    start_ms: 150350\n  - text: 'my '\n    start_ms: 150470\n  - text: 'chile '\n    start_ms: 150610\n  - text: 'con '\n    start_ms: 150890\n  - text: queso?\n    start_ms: 151170\n- text: Well, if you want some, just say so\n  start_ms: 151920\n  end_ms: 153340\n  words:\n  - text: 'Well, '\n    start_ms: 151920\n  - text: 'if '\n    start_ms: 152100\n  - text: 'you '\n    start_ms: 152220\n  - text: 'want '\n    start_ms: 152320\n  - text: 'some, '\n    start_ms: 152480\n  - text: 'just '\n    start_ms: 152640\n  - text: 'say '\n    start_ms: 152880\n  - text: so\n    start_ms: 153180\n- text: Oh boy, pico de gallo\n  start_ms: 154070\n  end_ms: 156070\n  words:\n  - text: 'Oh '\n    start_ms: 154070\n  - text: 'boy, '\n    start_ms: 154430\n  - text: 'pico '\n    start_ms: 155290\n  - text: 'de '\n    start_ms: 155590\n  - text: gallo\n    start_ms: 155710\n- text: They sure don't make it like this in Ohio\n  start_ms: 156620\n  end_ms: 158530\n  words:\n  - text: 'They '\n    start_ms: 156620\n  - text: 'sure '\n    start_ms: 156718\n  - text: 'don''t '\n    start_ms: 156876\n  - text: 'make '\n    start_ms: 157053\n  - text: 'it '\n    start_ms: 157230\n  - text: 'like '\n    start_ms: 157309\n  - text: 'this '\n    start_ms: 157506\n  - text: 'in '\n    start_ms: 157782\n  - text: Ohio\n    start_ms: 157939\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158530\n  end_ms: 160910\n  words:\n  - text: 'No '\n    start_ms: 158530\n  - text: 'gracias, '\n    start_ms: 158690\n  - text: 'yo '\n    start_ms: 159250\n  - text: 'quiero '\n    start_ms: 159370\n  - text: 'jalepeños, '\n    start_ms: 159670\n  - text: 'nada '\n    start_ms: 160430\n  - text: más\n    start_ms: 160690\n- text: You can toss away the hot sauce\n  start_ms: 161030\n  end_ms: 162490\n  words:\n  - text: 'You '\n    start_ms: 161030\n  - text: 'can '\n    start_ms: 161130\n  - text: 'toss '\n    start_ms: 161290\n  - text: 'away '\n    start_ms: 161630\n  - text: 'the '\n    start_ms: 161850\n  - text: 'hot '\n    start_ms: 161950\n  - text: sauce\n    start_ms: 162230\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162980\n  end_ms: 165350\n  words:\n  - text: '¿Dónde '\n    start_ms: 163039\n  - text: 'están '\n    start_ms: 163313\n  - text: 'los '\n    start_ms: 163607\n  - text: 'nachos? '\n    start_ms: 163881\n  - text: 'Holy '\n    start_ms: 164645\n  - text: frijole!\n    start_ms: 164919\n- text: You better get me a bowl of guacamole\n  start_ms: 165350\n  end_ms: 167090\n  words:\n  - text: 'You '\n    start_ms: 165350\n  - text: 'better '\n    start_ms: 165470\n  - text: 'get '\n    start_ms: 165770\n  - text: 'me '\n    start_ms: 165930\n  - text: 'a '\n    start_ms: 166210\n  - text: 'bowl '\n    start_ms: 166310\n  - text: 'of '\n    start_ms: 166510\n  - text: guacamole\n    start_ms: 166590\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167390\n  end_ms: 169630\n  words:\n  - text: '¿Y '\n    start_ms: 167490\n  - text: 'usted, '\n    start_ms: 167570\n  - text: 'Eugene? '\n    start_ms: 167970\n  - text: 'Why''s '\n    start_ms: 168490\n  - text: 'your '\n    start_ms: 168670\n  - text: 'face '\n    start_ms: 168790\n  - text: 'turning '\n    start_ms: 168990\n  - text: green?\n    start_ms: 169250\n- text: Don't you like pinto bean?\n  start_ms: 170040\n  end_ms: 171440\n  words:\n  - text: 'Don''t '\n    start_ms: 170040\n  - text: 'you '\n    start_ms: 170220\n  - text: 'like '\n    start_ms: 170400\n  - text: 'pinto '\n    start_ms: 170780\n  - text: bean?\n    start_ms: 171080\n- text: You want some more cinnamon crispas?\n  start_ms: 171890\n  end_ms: 174390\n  words:\n  - text: 'You '\n    start_ms: 171890\n  - text: 'want '\n    start_ms: 172150\n  - text: 'some '\n    start_ms: 172450\n  - text: 'more '\n    start_ms: 172650\n  - text: 'cinnamon '\n    start_ms: 173410\n  - text: crispas?\n    start_ms: 173810\n- text: If you don't, hasta la vista\n  start_ms: 174670\n  end_ms: 175830\n  words:\n  - text: 'If '\n    start_ms: 174670\n  - text: 'you '\n    start_ms: 174790\n  - text: 'don''t, '\n    start_ms: 174930\n  - text: 'hasta '\n    start_ms: 175190\n  - text: 'la '\n    start_ms: 175470\n  - text: vista\n    start_ms: 175590\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176080\n  end_ms: 179300\n  words:\n  - text: 'Just '\n    start_ms: 176080\n  - text: 'take '\n    start_ms: 176320\n  - text: 'the '\n    start_ms: 176560\n  - text: 'rest '\n    start_ms: 176860\n  - text: 'home '\n    start_ms: 177140\n  - text: 'in '\n    start_ms: 177500\n  - text: 'a '\n    start_ms: 177660\n  - text: 'doggie '\n    start_ms: 177860\n  - text: 'bag '\n    start_ms: 178420\n  - text: 'if '\n    start_ms: 178720\n  - text: 'you '\n    start_ms: 178860\n  - text: wanna\n    start_ms: 179020\n- text: You can finish it mañana\n  start_ms: 179380\n  end_ms: 180560\n  words:\n  - text: 'You '\n    start_ms: 179380\n  - text: 'can '\n    start_ms: 179500\n  - text: 'finish '\n    start_ms: 179660\n  - text: 'it '\n    start_ms: 179940\n  - text: mañana\n    start_ms: 180060\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180800\n  end_ms: 183100\n  words:\n  - text: 'Well, '\n    start_ms: 180800\n  - text: 'it''s '\n    start_ms: 180980\n  - text: 'been '\n    start_ms: 181200\n  - text: 'a '\n    start_ms: 181420\n  - text: 'pleasure, '\n    start_ms: 181580\n  - text: 'I '\n    start_ms: 182060\n  - text: 'can''t '\n    start_ms: 182160\n  - text: 'eat '\n    start_ms: 182340\n  - text: 'no '\n    start_ms: 182560\n  - text: more\n    start_ms: 182760\n- text: Señor, la cuenta, por favor\n  start_ms: 183430\n  end_ms: 184610\n  words:\n  - text: 'Señor, '\n    start_ms: 183430\n  - text: 'la '\n    start_ms: 183710\n  - text: 'cuenta, '\n    start_ms: 183830\n  - text: 'por '\n    start_ms: 184130\n  - text: favor\n    start_ms: 184290\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185170\n  end_ms: 188360\n  words:\n  - text: 'If '\n    start_ms: 185170\n  - text: 'you '\n    start_ms: 185405\n  - text: 'ain''t '\n    start_ms: 185640\n  - text: 'tried '\n    start_ms: 186286\n  - text: 'real '\n    start_ms: 186638\n  - text: 'Mexican '\n    start_ms: 186892\n  - text: 'cooking, '\n    start_ms: 187440\n  - text: 'well, '\n    start_ms: 187812\n  - text: 'you '\n    start_ms: 187988\n  - text: oughta\n    start_ms: 188145\n- text: Just don't drink the water\n  start_ms: 188360\n  end_ms: 189420\n  words:\n  - text: 'Just '\n    start_ms: 188360\n  - text: 'don''t '\n    start_ms: 188600\n  - text: 'drink '\n    start_ms: 188740\n  - text: 'the '\n    start_ms: 188920\n  - text: water\n    start_ms: 189040\n- text: Taco\n  start_ms: 193560\n  end_ms: 197800\n  words:\n  - text: Taco\n    start_ms: 193560\n- text: Grande\n  start_ms: 198210\n  end_ms: 198770\n  words:\n  - text: Grande\n    start_ms: 198210\n- text: Taco\n  start_ms: 202640\n  end_ms: 206840\n  words:\n  - text: Taco\n    start_ms: 202640\n- text: Grande\n  start_ms: 207320\n  end_ms: 208120\n  words:\n  - text: Grande\n    start_ms: 207320\n- text: Taco\n  start_ms: 211670\n  end_ms: 211690\n  words:\n  - text: Taco\n    start_ms: 211670\n- text: Grande\n  start_ms: 216310\n  end_ms: 216430\n  words:\n  - text: Grande\n    start_ms: 216310\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":1075693,"name":"Taco Grande","trackName":"Taco Grande","artistName":"'Weird Al' Yankovic","albumName":"Squeeze Box: The Complete Works of “Weird Al” Yankovic","duration":228.0,"instrumental":false,"hasWordSync":true,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.24]Taco\n[00:16.50]Grande\n[00:21.19]Taco\n[00:25.42]Grande\n[00:26.98]Yo quiero chimichangas y chile colorado\n[00:29.25]Yo tengo el dinero para un steak picado\n[00:31.52]Las flautas y tamales, siempre muy bueno\n[00:33.91]Y el chile relleno\n[00:35.52]You see, I just gotta have a tostada, carne asada\n[00:38.69]That's right, I want the whole enchilada\n[00:40.57]My only addiction has to do with a flour tortilla\n[00:43.45]I need a quesadilla\n[00:44.74]I love to stuff my face with tacos al carbón\n[00:47.51]With my friends, or when I'm all alone\n[00:49.45]Yo tengo mucho hambre y ahora lo quiero\n[00:51.90]Un burrito ranchero\n[00:54.18]So give me something spicy and hot, now\n[00:56.76]Break out the menu, what you got, now?\n[00:58.78]Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:01.34]You better make sure the beans are refried\n[01:06.88]Taco\n[01:11.02]Grande\n[01:15.85]Taco\n[01:20.37]Grande\n[01:21.21]Well, there's not a taco big enough for a man like me\n[01:23.95]That's why I order two or three\n[01:25.75]Let me give you a tip, just try a nacho chip\n[01:28.53]It's really good with bean dip\n[01:30.28]I eat uno, dos, tres, cuatro burritos\n[01:32.94]Pretty soon I can't fit in my Speedos\n[01:34.79]Well, I hope they feed us lots of chicken fajitas\n[01:37.52]And a pitcher of margaritas\n[01:39.24]Well, the combination plates all come with beans and rice\n[01:42.08]The taquitos here are very nice\n[01:43.95]Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:46.83]And could you make that separate checks, please?\n[01:52.13]Taco\n[01:56.78]Grande\n[02:01.15]Taco\n[02:05.45]Grande\n[02:07.07]\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:10.52]Tenemos muchos platos muy sabrosos\n[02:12.71]Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:16.92]Sus ojos se quemarán, su estomago estará en fuego\n[02:19.74]Se quedarán en el baño por una semana\n[02:21.96]Entiendes lo que digo gringo estúpido tonto?\"\n[02:24.82]Well, the food is coming, I can hardly wait\n[02:27.42]Now watch your fingers, careful hot plate!\n[02:29.23]What you think you're doing with my chile con queso?\n[02:31.92]Well, if you want some, just say so\n[02:34.07]Oh boy, pico de gallo\n[02:36.62]They sure don't make it like this in Ohio\n[02:38.53]No gracias, yo quiero jalepeños, nada más\n[02:41.03]You can toss away the hot sauce\n[02:42.98]¿Dónde están los nachos? Holy frijole!\n[02:45.35]You better get me a bowl of guacamole\n[02:47.39]¿Y usted, Eugene? Why's your face turning green?\n[02:50.04]Don't you like pinto bean?\n[02:51.89]You want some more cinnamon crispas?\n[02:54.67]If you don't, hasta la vista\n[02:56.08]Just take the rest home in a doggie bag if you wanna\n[02:59.38]You can finish it mañana\n[03:00.80]Well, it's been a pleasure, I can't eat no more\n[03:03.43]Señor, la cuenta, por favor\n[03:05.17]If you ain't tried real Mexican cooking, well, you oughta\n[03:08.36]Just don't drink the water\n[03:13.56]Taco\n[03:18.21]Grande\n[03:22.64]Taco\n[03:27.32]Grande\n[03:31.67]Taco\n[03:36.31]Grande","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: '''Weird Al'' Yankovic'\n  album: 'Squeeze Box: The Complete Works of “Weird Al” Yankovic'\n  duration_ms: 228000\n  instrumental: false\n  language: en\nlines:\n- text: Taco\n  start_ms: 12240\n  end_ms: 12720\n  words:\n  - text: Taco\n    start_ms: 12240\n- text: Grande\n  start_ms: 16500\n  end_ms: 16500\n  words:\n  - text: Grande\n    start_ms: 16500\n- text: Taco\n  start_ms: 21190\n  end_ms: 21250\n  words:\n  - text: Taco\n    start_ms: 21190\n- text: Grande\n  start_ms: 25420\n  end_ms: 26380\n  words:\n  - text: Grande\n    start_ms: 25420\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26980\n  end_ms: 29060\n  words:\n  - text: 'Yo '\n    start_ms: 26980\n  - text: 'quiero '\n    start_ms: 27100\n  - text: 'chimichangas '\n    start_ms: 27380\n  - text: 'y '\n    start_ms: 28140\n  - text: 'chile '\n    start_ms: 28220\n  - text: colorado\n    start_ms: 28540\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29250\n  end_ms: 31310\n  words:\n  - text: 'Yo '\n    start_ms: 29250\n  - text: 'tengo '\n    start_ms: 29370\n  - text: 'el '\n    start_ms: 29710\n  - text: 'dinero '\n    start_ms: 29830\n  - text: 'para '\n    start_ms: 30330\n  - text: 'un '\n    start_ms: 30570\n  - text: 'steak '\n    start_ms: 30690\n  - text: picado\n    start_ms: 30910\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31520\n  end_ms: 33720\n  words:\n  - text: 'Las '\n    start_ms: 31520\n  - text: 'flautas '\n    start_ms: 31660\n  - text: 'y '\n    start_ms: 32000\n  - text: 'tamales, '\n    start_ms: 32120\n  - text: 'siempre '\n    start_ms: 32659\n  - text: 'muy '\n    start_ms: 33100\n  - text: bueno\n    start_ms: 33320\n- text: Y el chile relleno\n  start_ms: 33910\n  end_ms: 35210\n  words:\n  - text: 'Y '\n    start_ms: 33910\n  - text: 'el '\n    start_ms: 34010\n  - text: 'chile '\n    start_ms: 34130\n  - text: relleno\n    start_ms: 34590\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35520\n  end_ms: 38400\n  words:\n  - text: 'You '\n    start_ms: 35520\n  - text: 'see, '\n    start_ms: 35620\n  - text: 'I '\n    start_ms: 35980\n  - text: 'just '\n    start_ms: 36120\n  - text: 'gotta '\n    start_ms: 36360\n  - text: 'have '\n    start_ms: 36760\n  - text: 'a '\n    start_ms: 36920\n  - text: 'tostada, '\n    start_ms: 37020\n  - text: 'carne '\n    start_ms: 37560\n  - text: asada\n    start_ms: 37940\n- text: That's right, I want the whole enchilada\n  start_ms: 38690\n  end_ms: 40230\n  words:\n  - text: 'That''s '\n    start_ms: 38690\n  - text: 'right, '\n    start_ms: 38890\n  - text: 'I '\n    start_ms: 39070\n  - text: 'want '\n    start_ms: 39130\n  - text: 'the '\n    start_ms: 39290\n  - text: 'whole '\n    start_ms: 39390\n  - text: enchilada\n    start_ms: 39610\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40570\n  end_ms: 43190\n  words:\n  - text: 'My '\n    start_ms: 40570\n  - text: 'only '\n    start_ms: 40750\n  - text: 'addiction '\n    start_ms: 41030\n  - text: 'has '\n    start_ms: 41530\n  - text: 'to '\n    start_ms: 41690\n  - text: 'do '\n    start_ms: 41830\n  - text: 'with '\n    start_ms: 41970\n  - text: 'a '\n    start_ms: 42070\n  - text: 'flour '\n    start_ms: 42190\n  - text: tortilla\n    start_ms: 42510\n- text: I need a quesadilla\n  start_ms: 43450\n  end_ms: 44550\n  words:\n  - text: 'I '\n    start_ms: 43450\n  - text: 'need '\n    start_ms: 43530\n  - text: 'a '\n    start_ms: 43710\n  - text: quesadilla\n    start_ms: 43810\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44740\n  end_ms: 47040\n  words:\n  - text: 'I '\n    start_ms: 44740\n  - text: 'love '\n    start_ms: 44800\n  - text: 'to '\n    start_ms: 44960\n  - text: 'stuff '\n    start_ms: 45080\n  - text: 'my '\n    start_ms: 45300\n  - text: 'face '\n    start_ms: 45540\n  - text: 'with '\n    start_ms: 45820\n  - text: 'tacos '\n    start_ms: 45960\n  - text: 'al '\n    start_ms: 46280\n  - text: carbón\n    start_ms: 46420\n- text: With my friends, or when I'm all alone\n  start_ms: 47510\n  end_ms: 49010\n  words:\n  - text: 'With '\n    start_ms: 47510\n  - text: 'my '\n    start_ms: 47630\n  - text: 'friends, '\n    start_ms: 47790\n  - text: 'or '\n    start_ms: 48110\n  - text: 'when '\n    start_ms: 48210\n  - text: 'I''m '\n    start_ms: 48390\n  - text: 'all '\n    start_ms: 48530\n  - text: alone\n    start_ms: 48670\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49450\n  end_ms: 51900\n  words:\n  - text: 'Yo '\n    start_ms: 49450\n  - text: 'tengo '\n    start_ms: 49567\n  - text: 'mucho '\n    start_ms: 49839\n  - text: 'hambre '\n    start_ms: 50306\n  - text: 'y '\n    start_ms: 50714\n  - text: 'ahora '\n    start_ms: 50831\n  - text: 'lo '\n    start_ms: 51161\n  - text: quiero\n    start_ms: 51453\n- text: Un burrito ranchero\n  start_ms: 51900\n  end_ms: 53300\n  words:\n  - text: 'Un '\n    start_ms: 51900\n  - text: 'burrito '\n    start_ms: 52020\n  - text: ranchero\n    start_ms: 52560\n- text: So give me something spicy and hot, now\n  start_ms: 54180\n  end_ms: 56680\n  words:\n  - text: 'So '\n    start_ms: 54180\n  - text: 'give '\n    start_ms: 54480\n  - text: 'me '\n    start_ms: 54760\n  - text: 'something '\n    start_ms: 55000\n  - text: 'spicy '\n    start_ms: 55440\n  - text: 'and '\n    start_ms: 55920\n  - text: 'hot, '\n    start_ms: 56120\n  - text: now\n    start_ms: 56420\n- text: Break out the menu, what you got, now?\n  start_ms: 56760\n  end_ms: 58280\n  words:\n  - text: 'Break '\n    start_ms: 56760\n  - text: 'out '\n    start_ms: 56960\n  - text: 'the '\n    start_ms: 57080\n  - text: 'menu, '\n    start_ms: 57200\n  - text: 'what '\n    start_ms: 57480\n  - text: 'you '\n    start_ms: 57660\n  - text: 'got, '\n    start_ms: 57780\n  - text: now?\n    start_ms: 58060\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 58780\n  end_ms: 61340\n  words:\n  - text: 'Oh, '\n    start_ms: 58780\n  - text: 'would '\n    start_ms: 58891\n  - text: 'you '\n    start_ms: 59040\n  - text: 'tell '\n    start_ms: 59151\n  - text: 'the '\n    start_ms: 59299\n  - text: 'waiter '\n    start_ms: 59411\n  - text: 'I''d '\n    start_ms: 59745\n  - text: 'like '\n    start_ms: 59893\n  - text: 'to '\n    start_ms: 60023\n  - text: 'have '\n    start_ms: 60171\n  - text: 'sour '\n    start_ms: 60338\n  - text: 'cream '\n    start_ms: 60579\n  - text: 'on '\n    start_ms: 60858\n  - text: 'the '\n    start_ms: 60932\n  - text: side\n    start_ms: 61080\n- text: You better make sure the beans are refried\n  start_ms: 61340\n  end_ms: 62840\n  words:\n  - text: 'You '\n    start_ms: 61340\n  - text: 'better '\n    start_ms: 61420\n  - text: 'make '\n    start_ms: 61560\n  - text: 'sure '\n    start_ms: 61700\n  - text: 'the '\n    start_ms: 61880\n  - text: 'beans '\n    start_ms: 61980\n  - text: 'are '\n    start_ms: 62200\n  - text: refried\n    start_ms: 62320\n- text: Taco\n  start_ms: 66880\n  end_ms: 67380\n  words:\n  - text: Taco\n    start_ms: 66880\n- text: Grande\n  start_ms: 71020\n  end_ms: 71860\n  words:\n  - text: Grande\n    start_ms: 71020\n- text: Taco\n  start_ms: 75850\n  end_ms: 76390\n  words:\n  - text: Taco\n    start_ms: 75850\n- text: Grande\n  start_ms: 80370\n  end_ms: 80370\n  words:\n  - text: Grande\n    start_ms: 80370\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81210\n  end_ms: 83930\n  words:\n  - text: 'Well, '\n    start_ms: 81210\n  - text: 'there''s '\n    start_ms: 81330\n  - text: 'not '\n    start_ms: 81630\n  - text: 'a '\n    start_ms: 81890\n  - text: 'taco '\n    start_ms: 82050\n  - text: 'big '\n    start_ms: 82470\n  - text: 'enough '\n    start_ms: 82670\n  - text: 'for '\n    start_ms: 82890\n  - text: 'a '\n    start_ms: 83070\n  - text: 'man '\n    start_ms: 83210\n  - text: 'like '\n    start_ms: 83470\n  - text: me\n    start_ms: 83750\n- text: That's why I order two or three\n  start_ms: 83950\n  end_ms: 85390\n  words:\n  - text: 'That''s '\n    start_ms: 83950\n  - text: 'why '\n    start_ms: 84130\n  - text: 'I '\n    start_ms: 84310\n  - text: 'order '\n    start_ms: 84430\n  - text: 'two '\n    start_ms: 84690\n  - text: 'or '\n    start_ms: 84910\n  - text: three\n    start_ms: 85070\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 85750\n  end_ms: 88030\n  words:\n  - text: 'Let '\n    start_ms: 85750\n  - text: 'me '\n    start_ms: 85910\n  - text: 'give '\n    start_ms: 86050\n  - text: 'you '\n    start_ms: 86270\n  - text: 'a '\n    start_ms: 86410\n  - text: 'tip, '\n    start_ms: 86530\n  - text: 'just '\n    start_ms: 86790\n  - text: 'try '\n    start_ms: 86910\n  - text: 'a '\n    start_ms: 87110\n  - text: 'nacho '\n    start_ms: 87210\n  - text: chip\n    start_ms: 87710\n- text: It's really good with bean dip\n  start_ms: 88530\n  end_ms: 89750\n  words:\n  - text: 'It''s '\n    start_ms: 88530\n  - text: 'really '\n    start_ms: 88670\n  - text: 'good '\n    start_ms: 88930\n  - text: 'with '\n    start_ms: 89070\n  - text: 'bean '\n    start_ms: 89210\n  - text: dip\n    start_ms: 89490\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90280\n  end_ms: 92820\n  words:\n  - text: 'I '\n    start_ms: 90280\n  - text: 'eat '\n    start_ms: 90400\n  - text: 'uno, '\n    start_ms: 90740\n  - text: 'dos, '\n    start_ms: 91120\n  - text: 'tres, '\n    start_ms: 91460\n  - text: 'cuatro '\n    start_ms: 91860\n  - text: burritos\n    start_ms: 92160\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92940\n  end_ms: 94700\n  words:\n  - text: 'Pretty '\n    start_ms: 92940\n  - text: 'soon '\n    start_ms: 93240\n  - text: 'I '\n    start_ms: 93640\n  - text: 'can''t '\n    start_ms: 93780\n  - text: 'fit '\n    start_ms: 94060\n  - text: 'in '\n    start_ms: 94220\n  - text: 'my '\n    start_ms: 94300\n  - text: Speedos\n    start_ms: 94440\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 94790\n  end_ms: 97170\n  words:\n  - text: 'Well, '\n    start_ms: 94790\n  - text: 'I '\n    start_ms: 94970\n  - text: 'hope '\n    start_ms: 95050\n  - text: 'they '\n    start_ms: 95310\n  - text: 'feed '\n    start_ms: 95510\n  - text: 'us '\n    start_ms: 95770\n  - text: 'lots '\n    start_ms: 95870\n  - text: 'of '\n    start_ms: 96050\n  - text: 'chicken '\n    start_ms: 96150\n  - text: fajitas\n    start_ms: 96450\n- text: And a pitcher of margaritas\n  start_ms: 97520\n  end_ms: 99120\n  words:\n  - text: 'And '\n    start_ms: 97520\n  - text: 'a '\n    start_ms: 97700\n  - text: 'pitcher '\n    start_ms: 97820\n  - text: 'of '\n    start_ms: 98200\n  - text: margaritas\n    start_ms: 98240\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 99240\n  end_ms: 101860\n  words:\n  - text: 'Well, '\n    start_ms: 99240\n  - text: 'the '\n    start_ms: 99380\n  - text: 'combination '\n    start_ms: 99520\n  - text: 'plates '\n    start_ms: 100460\n  - text: 'all '\n    start_ms: 100780\n  - text: 'come '\n    start_ms: 100900\n  - text: 'with '\n    start_ms: 101040\n  - text: 'beans '\n    start_ms: 101200\n  - text: 'and '\n    start_ms: 101440\n  - text: rice\n    start_ms: 101620\n- text: The taquitos here are very nice\n  start_ms: 102080\n  end_ms: 103640\n  words:\n  - text: 'The '\n    start_ms: 102080\n  - text: 'taquitos '\n    start_ms: 102200\n  - text: 'here '\n    start_ms: 102780\n  - text: 'are '\n    start_ms: 102920\n  - text: 'very '\n    start_ms: 103040\n  - text: nice\n    start_ms: 103300\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103950\n  end_ms: 106610\n  words:\n  - text: 'Now '\n    start_ms: 103950\n  - text: 'I''m '\n    start_ms: 104110\n  - text: 'down '\n    start_ms: 104210\n  - text: 'on '\n    start_ms: 104390\n  - text: 'my '\n    start_ms: 104510\n  - text: 'knees, '\n    start_ms: 104650\n  - text: 'we '\n    start_ms: 104970\n  - text: 'need '\n    start_ms: 105070\n  - text: 'some '\n    start_ms: 105210\n  - text: 'extra '\n    start_ms: 105390\n  - text: 'tomatoes '\n    start_ms: 105630\n  - text: 'and '\n    start_ms: 106130\n  - text: cheese\n    start_ms: 106310\n- text: And could you make that separate checks, please?\n  start_ms: 106830\n  end_ms: 108570\n  words:\n  - text: 'And '\n    start_ms: 106830\n  - text: 'could '\n    start_ms: 106930\n  - text: 'you '\n    start_ms: 107090\n  - text: 'make '\n    start_ms: 107170\n  - text: 'that '\n    start_ms: 107330\n  - text: 'separate '\n    start_ms: 107470\n  - text: 'checks, '\n    start_ms: 107770\n  - text: please?\n    start_ms: 108050\n- text: Taco\n  start_ms: 112130\n  end_ms: 112630\n  words:\n  - text: Taco\n    start_ms: 112130\n- text: Grande\n  start_ms: 116780\n  end_ms: 117800\n  words:\n  - text: Grande\n    start_ms: 116780\n- text: Taco\n  start_ms: 121150\n  end_ms: 121690\n  words:\n  - text: Taco\n    start_ms: 121150\n- text: Grande\n  start_ms: 125450\n  end_ms: 126290\n  words:\n  - text: Grande\n    start_ms: 125450\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127070\n  end_ms: 130410\n  words:\n  - text: '\"Buenos '\n    start_ms: 127090\n  - text: 'noches, '\n    start_ms: 127350\n  - text: 'señor. '\n    start_ms: 127650\n  - text: 'bienvenido '\n    start_ms: 128190\n  - text: 'a '\n    start_ms: 128770\n  - text: 'Enrico''s '\n    start_ms: 128890\n  - text: 'Casa '\n    start_ms: 129629\n  - text: 'de '\n    start_ms: 129870\n  - text: Salsa\n    start_ms: 130009\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130520\n  end_ms: 132240\n  words:\n  - text: 'Tenemos '\n    start_ms: 130520\n  - text: 'muchos '\n    start_ms: 130839\n  - text: 'platos '\n    start_ms: 131160\n  - text: 'muy '\n    start_ms: 131559\n  - text: sabrosos\n    start_ms: 131779\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132710\n  end_ms: 136551\n  words:\n  - text: 'Si '\n    start_ms: 132710\n  - text: 'puedo '\n    start_ms: 132831\n  - text: 'recomendar '\n    start_ms: 133031\n  - text: 'el '\n    start_ms: 133611\n  - text: 'ardiente '\n    start_ms: 133771\n  - text: 'pollo '\n    start_ms: 134331\n  - text: 'al '\n    start_ms: 134651\n  - text: 'infierno '\n    start_ms: 134791\n  - text: 'muy '\n    start_ms: 135411\n  - text: delicioso\n    start_ms: 135751\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136920\n  end_ms: 139560\n  words:\n  - text: 'Sus '\n    start_ms: 136920\n  - text: 'ojos '\n    start_ms: 137100\n  - text: 'se '\n    start_ms: 137340\n  - text: 'quemarán, '\n    start_ms: 137440\n  - text: 'su '\n    start_ms: 138200\n  - text: 'estomago '\n    start_ms: 138280\n  - text: 'estará '\n    start_ms: 138740\n  - text: 'en '\n    start_ms: 139080\n  - text: fuego\n    start_ms: 139300\n- text: Se quedarán en el baño por una semana\n  start_ms: 139740\n  end_ms: 141580\n  words:\n  - text: 'Se '\n    start_ms: 139740\n  - text: 'quedarán '\n    start_ms: 139860\n  - text: 'en '\n    start_ms: 140260\n  - text: 'el '\n    start_ms: 140360\n  - text: 'baño '\n    start_ms: 140500\n  - text: 'por '\n    start_ms: 140780\n  - text: 'una '\n    start_ms: 140960\n  - text: semana\n    start_ms: 141160\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141960\n  end_ms: 144520\n  words:\n  - text: 'Entiendes '\n    start_ms: 141960\n  - text: 'lo '\n    start_ms: 142380\n  - text: 'que '\n    start_ms: 142500\n  - text: 'digo '\n    start_ms: 142700\n  - text: 'gringo '\n    start_ms: 143120\n  - text: 'estúpido '\n    start_ms: 143460\n  - text: tonto?\"\n    start_ms: 144020\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144820\n  end_ms: 146900\n  words:\n  - text: 'Well, '\n    start_ms: 144820\n  - text: 'the '\n    start_ms: 144960\n  - text: 'food '\n    start_ms: 145080\n  - text: 'is '\n    start_ms: 145300\n  - text: 'coming, '\n    start_ms: 145500\n  - text: 'I '\n    start_ms: 145960\n  - text: 'can '\n    start_ms: 146020\n  - text: 'hardly '\n    start_ms: 146160\n  - text: wait\n    start_ms: 146600\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147420\n  end_ms: 148920\n  words:\n  - text: 'Now '\n    start_ms: 147420\n  - text: 'watch '\n    start_ms: 147540\n  - text: 'your '\n    start_ms: 147720\n  - text: 'fingers, '\n    start_ms: 147820\n  - text: 'careful '\n    start_ms: 148120\n  - text: 'hot '\n    start_ms: 148400\n  - text: plate!\n    start_ms: 148620\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149230\n  end_ms: 151670\n  words:\n  - text: 'What '\n    start_ms: 149230\n  - text: 'you '\n    start_ms: 149410\n  - text: 'think '\n    start_ms: 149510\n  - text: 'you''re '\n    start_ms: 149690\n  - text: 'doing '\n    start_ms: 149990\n  - text: 'with '\n    start_ms: 150350\n  - text: 'my '\n    start_ms: 150470\n  - text: 'chile '\n    start_ms: 150610\n  - text: 'con '\n    start_ms: 150890\n  - text: queso?\n    start_ms: 151170\n- text: Well, if you want some, just say so\n  start_ms: 151920\n  end_ms: 153340\n  words:\n  - text: 'Well, '\n    start_ms: 151920\n  - text: 'if '\n    start_ms: 152100\n  - text: 'you '\n    start_ms: 152220\n  - text: 'want '\n    start_ms: 152320\n  - text: 'some, '\n    start_ms: 152480\n  - text: 'just '\n    start_ms: 152640\n  - text: 'say '\n    start_ms: 152880\n  - text: so\n    start_ms: 153180\n- text: Oh boy, pico de gallo\n  start_ms: 154070\n  end_ms: 156070\n  words:\n  - text: 'Oh '\n    start_ms: 154070\n  - text: 'boy, '\n    start_ms: 154430\n  - text: 'pico '\n    start_ms: 155290\n  - text: 'de '\n    start_ms: 155590\n  - text: gallo\n    start_ms: 155710\n- text: They sure don't make it like this in Ohio\n  start_ms: 156620\n  end_ms: 158530\n  words:\n  - text: 'They '\n    start_ms: 156620\n  - text: 'sure '\n    start_ms: 156718\n  - text: 'don''t '\n    start_ms: 156876\n  - text: 'make '\n    start_ms: 157053\n  - text: 'it '\n    start_ms: 157230\n  - text: 'like '\n    start_ms: 157309\n  - text: 'this '\n    start_ms: 157506\n  - text: 'in '\n    start_ms: 157782\n  - text: Ohio\n    start_ms: 157939\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158530\n  end_ms: 160910\n  words:\n  - text: 'No '\n    start_ms: 158530\n  - text: 'gracias, '\n    start_ms: 158690\n  - text: 'yo '\n    start_ms: 159250\n  - text: 'quiero '\n    start_ms: 159370\n  - text: 'jalepeños, '\n    start_ms: 159670\n  - text: 'nada '\n    start_ms: 160430\n  - text: más\n    start_ms: 160690\n- text: You can toss away the hot sauce\n  start_ms: 161030\n  end_ms: 162490\n  words:\n  - text: 'You '\n    start_ms: 161030\n  - text: 'can '\n    start_ms: 161130\n  - text: 'toss '\n    start_ms: 161290\n  - text: 'away '\n    start_ms: 161630\n  - text: 'the '\n    start_ms: 161850\n  - text: 'hot '\n    start_ms: 161950\n  - text: sauce\n    start_ms: 162230\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162980\n  end_ms: 165350\n  words:\n  - text: '¿Dónde '\n    start_ms: 163039\n  - text: 'están '\n    start_ms: 163313\n  - text: 'los '\n    start_ms: 163607\n  - text: 'nachos? '\n    start_ms: 163881\n  - text: 'Holy '\n    start_ms: 164645\n  - text: frijole!\n    start_ms: 164919\n- text: You better get me a bowl of guacamole\n  start_ms: 165350\n  end_ms: 167090\n  words:\n  - text: 'You '\n    start_ms: 165350\n  - text: 'better '\n    start_ms: 165470\n  - text: 'get '\n    start_ms: 165770\n  - text: 'me '\n    start_ms: 165930\n  - text: 'a '\n    start_ms: 166210\n  - text: 'bowl '\n    start_ms: 166310\n  - text: 'of '\n    start_ms: 166510\n  - text: guacamole\n    start_ms: 166590\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167390\n  end_ms: 169630\n  words:\n  - text: '¿Y '\n    start_ms: 167490\n  - text: 'usted, '\n    start_ms: 167570\n  - text: 'Eugene? '\n    start_ms: 167970\n  - text: 'Why''s '\n    start_ms: 168490\n  - text: 'your '\n    start_ms: 168670\n  - text: 'face '\n    start_ms: 168790\n  - text: 'turning '\n    start_ms: 168990\n  - text: green?\n    start_ms: 169250\n- text: Don't you like pinto bean?\n  start_ms: 170040\n  end_ms: 171440\n  words:\n  - text: 'Don''t '\n    start_ms: 170040\n  - text: 'you '\n    start_ms: 170220\n  - text: 'like '\n    start_ms: 170400\n  - text: 'pinto '\n    start_ms: 170780\n  - text: bean?\n    start_ms: 171080\n- text: You want some more cinnamon crispas?\n  start_ms: 171890\n  end_ms: 174390\n  words:\n  - text: 'You '\n    start_ms: 171890\n  - text: 'want '\n    start_ms: 172150\n  - text: 'some '\n    start_ms: 172450\n  - text: 'more '\n    start_ms: 172650\n  - text: 'cinnamon '\n    start_ms: 173410\n  - text: crispas?\n    start_ms: 173810\n- text: If you don't, hasta la vista\n  start_ms: 174670\n  end_ms: 175830\n  words:\n  - text: 'If '\n    start_ms: 174670\n  - text: 'you '\n    start_ms: 174790\n  - text: 'don''t, '\n    start_ms: 174930\n  - text: 'hasta '\n    start_ms: 175190\n  - text: 'la '\n    start_ms: 175470\n  - text: vista\n    start_ms: 175590\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176080\n  end_ms: 179300\n  words:\n  - text: 'Just '\n    start_ms: 176080\n  - text: 'take '\n    start_ms: 176320\n  - text: 'the '\n    start_ms: 176560\n  - text: 'rest '\n    start_ms: 176860\n  - text: 'home '\n    start_ms: 177140\n  - text: 'in '\n    start_ms: 177500\n  - text: 'a '\n    start_ms: 177660\n  - text: 'doggie '\n    start_ms: 177860\n  - text: 'bag '\n    start_ms: 178420\n  - text: 'if '\n    start_ms: 178720\n  - text: 'you '\n    start_ms: 178860\n  - text: wanna\n    start_ms: 179020\n- text: You can finish it mañana\n  start_ms: 179380\n  end_ms: 180560\n  words:\n  - text: 'You '\n    start_ms: 179380\n  - text: 'can '\n    start_ms: 179500\n  - text: 'finish '\n    start_ms: 179660\n  - text: 'it '\n    start_ms: 179940\n  - text: mañana\n    start_ms: 180060\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180800\n  end_ms: 183100\n  words:\n  - text: 'Well, '\n    start_ms: 180800\n  - text: 'it''s '\n    start_ms: 180980\n  - text: 'been '\n    start_ms: 181200\n  - text: 'a '\n    start_ms: 181420\n  - text: 'pleasure, '\n    start_ms: 181580\n  - text: 'I '\n    start_ms: 182060\n  - text: 'can''t '\n    start_ms: 182160\n  - text: 'eat '\n    start_ms: 182340\n  - text: 'no '\n    start_ms: 182560\n  - text: more\n    start_ms: 182760\n- text: Señor, la cuenta, por favor\n  start_ms: 183430\n  end_ms: 184610\n  words:\n  - text: 'Señor, '\n    start_ms: 183430\n  - text: 'la '\n    start_ms: 183710\n  - text: 'cuenta, '\n    start_ms: 183830\n  - text: 'por '\n    start_ms: 184130\n  - text: favor\n    start_ms: 184290\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185170\n  end_ms: 188360\n  words:\n  - text: 'If '\n    start_ms: 185170\n  - text: 'you '\n    start_ms: 185405\n  - text: 'ain''t '\n    start_ms: 185640\n  - text: 'tried '\n    start_ms: 186286\n  - text: 'real '\n    start_ms: 186638\n  - text: 'Mexican '\n    start_ms: 186892\n  - text: 'cooking, '\n    start_ms: 187440\n  - text: 'well, '\n    start_ms: 187812\n  - text: 'you '\n    start_ms: 187988\n  - text: oughta\n    start_ms: 188145\n- text: Just don't drink the water\n  start_ms: 188360\n  end_ms: 189420\n  words:\n  - text: 'Just '\n    start_ms: 188360\n  - text: 'don''t '\n    start_ms: 188600\n  - text: 'drink '\n    start_ms: 188740\n  - text: 'the '\n    start_ms: 188920\n  - text: water\n    start_ms: 189040\n- text: Taco\n  start_ms: 193560\n  end_ms: 197800\n  words:\n  - text: Taco\n    start_ms: 193560\n- text: Grande\n  start_ms: 198210\n  end_ms: 198770\n  words:\n  - text: Grande\n    start_ms: 198210\n- text: Taco\n  start_ms: 202640\n  end_ms: 206840\n  words:\n  - text: Taco\n    start_ms: 202640\n- text: Grande\n  start_ms: 207320\n  end_ms: 208120\n  words:\n  - text: Grande\n    start_ms: 207320\n- text: Taco\n  start_ms: 211670\n  end_ms: 211690\n  words:\n  - text: Taco\n    start_ms: 211670\n- text: Grande\n  start_ms: 216310\n  end_ms: 216430\n  words:\n  - text: Grande\n    start_ms: 216310\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":1125757,"name":"Taco Grande","trackName":"Taco Grande","artistName":"'Weird Al' Yankovic","albumName":"Squeeze Box: The Complete Works of ''Weird Al'' Yankovic","duration":228.0,"instrumental":false,"hasWordSync":true,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.24]Taco\n[00:16.50]Grande\n[00:21.19]Taco\n[00:25.42]Grande\n[00:26.98]Yo quiero chimichangas y chile colorado\n[00:29.25]Yo tengo el dinero para un steak picado\n[00:31.52]Las flautas y tamales, siempre muy bueno\n[00:33.91]Y el chile relleno\n[00:35.52]You see, I just gotta have a tostada, carne asada\n[00:38.69]That's right, I want the whole enchilada\n[00:40.57]My only addiction has to do with a flour tortilla\n[00:43.45]I need a quesadilla\n[00:44.74]I love to stuff my face with tacos al carbón\n[00:47.51]With my friends, or when I'm all alone\n[00:49.45]Yo tengo mucho hambre y ahora lo quiero\n[00:51.90]Un burrito ranchero\n[00:54.18]So give me something spicy and hot, now\n[00:56.76]Break out the menu, what you got, now?\n[00:58.78]Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:01.34]You better make sure the beans are refried\n[01:06.88]Taco\n[01:11.02]Grande\n[01:15.85]Taco\n[01:20.37]Grande\n[01:21.21]Well, there's not a taco big enough for a man like me\n[01:23.95]That's why I order two or three\n[01:25.75]Let me give you a tip, just try a nacho chip\n[01:28.53]It's really good with bean dip\n[01:30.28]I eat uno, dos, tres, cuatro burritos\n[01:32.94]Pretty soon I can't fit in my Speedos\n[01:34.79]Well, I hope they feed us lots of chicken fajitas\n[01:37.52]And a pitcher of margaritas\n[01:39.24]Well, the combination plates all come with beans and rice\n[01:42.08]The taquitos here are very nice\n[01:43.95]Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:46.83]And could you make that separate checks, please?\n[01:52.13]Taco\n[01:56.78]Grande\n[02:01.15]Taco\n[02:05.45]Grande\n[02:07.07]\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:10.52]Tenemos muchos platos muy sabrosos\n[02:12.71]Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:16.92]Sus ojos se quemarán, su estomago estará en fuego\n[02:19.74]Se quedarán en el baño por una semana\n[02:21.96]Entiendes lo que digo gringo estúpido tonto?\"\n[02:24.82]Well, the food is coming, I can hardly wait\n[02:27.42]Now watch your fingers, careful hot plate!\n[02:29.23]What you think you're doing with my chile con queso?\n[02:31.92]Well, if you want some, just say so\n[02:34.07]Oh boy, pico de gallo\n[02:36.62]They sure don't make it like this in Ohio\n[02:38.53]No gracias, yo quiero jalepeños, nada más\n[02:41.03]You can toss away the hot sauce\n[02:42.98]¿Dónde están los nachos? Holy frijole!\n[02:45.35]You better get me a bowl of guacamole\n[02:47.39]¿Y usted, Eugene? Why's your face turning green?\n[02:50.04]Don't you like pinto bean?\n[02:51.89]You want some more cinnamon crispas?\n[02:54.67]If you don't, hasta la vista\n[02:56.08]Just take the rest home in a doggie bag if you wanna\n[02:59.38]You can finish it mañana\n[03:00.80]Well, it's been a pleasure, I can't eat no more\n[03:03.43]Señor, la cuenta, por favor\n[03:05.17]If you ain't tried real Mexican cooking, well, you oughta\n[03:08.36]Just don't drink the water\n[03:13.56]Taco\n[03:18.21]Grande\n[03:22.64]Taco\n[03:27.32]Grande\n[03:31.67]Taco\n[03:36.31]Grande","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: '''Weird Al'' Yankovic'\n  album: 'Squeeze Box: The Complete Works of ''''Weird Al'''' Yankovic'\n  duration_ms: 228000\n  instrumental: false\n  language: en\nlines:\n- text: Taco\n  start_ms: 12240\n  end_ms: 12720\n  words:\n  - text: Taco\n    start_ms: 12240\n- text: Grande\n  start_ms: 16500\n  end_ms: 16500\n  words:\n  - text: Grande\n    start_ms: 16500\n- text: Taco\n  start_ms: 21190\n  end_ms: 21250\n  words:\n  - text: Taco\n    start_ms: 21190\n- text: Grande\n  start_ms: 25420\n  end_ms: 26380\n  words:\n  - text: Grande\n    start_ms: 25420\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26980\n  end_ms: 29060\n  words:\n  - text: 'Yo '\n    start_ms: 26980\n  - text: 'quiero '\n    start_ms: 27100\n  - text: 'chimichangas '\n    start_ms: 27380\n  - text: 'y '\n    start_ms: 28140\n  - text: 'chile '\n    start_ms: 28220\n  - text: colorado\n    start_ms: 28540\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29250\n  end_ms: 31310\n  words:\n  - text: 'Yo '\n    start_ms: 29250\n  - text: 'tengo '\n    start_ms: 29370\n  - text: 'el '\n    start_ms: 29710\n  - text: 'dinero '\n    start_ms: 29830\n  - text: 'para '\n    start_ms: 30330\n  - text: 'un '\n    start_ms: 30570\n  - text: 'steak '\n    start_ms: 30690\n  - text: picado\n    start_ms: 30910\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31520\n  end_ms: 33720\n  words:\n  - text: 'Las '\n    start_ms: 31520\n  - text: 'flautas '\n    start_ms: 31660\n  - text: 'y '\n    start_ms: 32000\n  - text: 'tamales, '\n    start_ms: 32120\n  - text: 'siempre '\n    start_ms: 32659\n  - text: 'muy '\n    start_ms: 33100\n  - text: bueno\n    start_ms: 33320\n- text: Y el chile relleno\n  start_ms: 33910\n  end_ms: 35210\n  words:\n  - text: 'Y '\n    start_ms: 33910\n  - text: 'el '\n    start_ms: 34010\n  - text: 'chile '\n    start_ms: 34130\n  - text: relleno\n    start_ms: 34590\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35520\n  end_ms: 38400\n  words:\n  - text: 'You '\n    start_ms: 35520\n  - text: 'see, '\n    start_ms: 35620\n  - text: 'I '\n    start_ms: 35980\n  - text: 'just '\n    start_ms: 36120\n  - text: 'gotta '\n    start_ms: 36360\n  - text: 'have '\n    start_ms: 36760\n  - text: 'a '\n    start_ms: 36920\n  - text: 'tostada, '\n    start_ms: 37020\n  - text: 'carne '\n    start_ms: 37560\n  - text: asada\n    start_ms: 37940\n- text: That's right, I want the whole enchilada\n  start_ms: 38690\n  end_ms: 40230\n  words:\n  - text: 'That''s '\n    start_ms: 38690\n  - text: 'right, '\n    start_ms: 38890\n  - text: 'I '\n    start_ms: 39070\n  - text: 'want '\n    start_ms: 39130\n  - text: 'the '\n    start_ms: 39290\n  - text: 'whole '\n    start_ms: 39390\n  - text: enchilada\n    start_ms: 39610\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40570\n  end_ms: 43190\n  words:\n  - text: 'My '\n    start_ms: 40570\n  - text: 'only '\n    start_ms: 40750\n  - text: 'addiction '\n    start_ms: 41030\n  - text: 'has '\n    start_ms: 41530\n  - text: 'to '\n    start_ms: 41690\n  - text: 'do '\n    start_ms: 41830\n  - text: 'with '\n    start_ms: 41970\n  - text: 'a '\n    start_ms: 42070\n  - text: 'flour '\n    start_ms: 42190\n  - text: tortilla\n    start_ms: 42510\n- text: I need a quesadilla\n  start_ms: 43450\n  end_ms: 44550\n  words:\n  - text: 'I '\n    start_ms: 43450\n  - text: 'need '\n    start_ms: 43530\n  - text: 'a '\n    start_ms: 43710\n  - text: quesadilla\n    start_ms: 43810\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44740\n  end_ms: 47040\n  words:\n  - text: 'I '\n    start_ms: 44740\n  - text: 'love '\n    start_ms: 44800\n  - text: 'to '\n    start_ms: 44960\n  - text: 'stuff '\n    start_ms: 45080\n  - text: 'my '\n    start_ms: 45300\n  - text: 'face '\n    start_ms: 45540\n  - text: 'with '\n    start_ms: 45820\n  - text: 'tacos '\n    start_ms: 45960\n  - text: 'al '\n    start_ms: 46280\n  - text: carbón\n    start_ms: 46420\n- text: With my friends, or when I'm all alone\n  start_ms: 47510\n  end_ms: 49010\n  words:\n  - text: 'With '\n    start_ms: 47510\n  - text: 'my '\n    start_ms: 47630\n  - text: 'friends, '\n    start_ms: 47790\n  - text: 'or '\n    start_ms: 48110\n  - text: 'when '\n    start_ms: 48210\n  - text: 'I''m '\n    start_ms: 48390\n  - text: 'all '\n    start_ms: 48530\n  - text: alone\n    start_ms: 48670\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49450\n  end_ms: 51900\n  words:\n  - text: 'Yo '\n    start_ms: 49450\n  - text: 'tengo '\n    start_ms: 49567\n  - text: 'mucho '\n    start_ms: 49839\n  - text: 'hambre '\n    start_ms: 50306\n  - text: 'y '\n    start_ms: 50714\n  - text: 'ahora '\n    start_ms: 50831\n  - text: 'lo '\n    start_ms: 51161\n  - text: quiero\n    start_ms: 51453\n- text: Un burrito ranchero\n  start_ms: 51900\n  end_ms: 53300\n  words:\n  - text: 'Un '\n    start_ms: 51900\n  - text: 'burrito '\n    start_ms: 52020\n  - text: ranchero\n    start_ms: 52560\n- text: So give me something spicy and hot, now\n  start_ms: 54180\n  end_ms: 56680\n  words:\n  - text: 'So '\n    start_ms: 54180\n  - text: 'give '\n    start_ms: 54480\n  - text: 'me '\n    start_ms: 54760\n  - text: 'something '\n    start_ms: 55000\n  - text: 'spicy '\n    start_ms: 55440\n  - text: 'and '\n    start_ms: 55920\n  - text: 'hot, '\n    start_ms: 56120\n  - text: now\n    start_ms: 56420\n- text: Break out the menu, what you got, now?\n  start_ms: 56760\n  end_ms: 58280\n  words:\n  - text: 'Break '\n    start_ms: 56760\n  - text: 'out '\n    start_ms: 56960\n  - text: 'the '\n    start_ms: 57080\n  - text: 'menu, '\n    start_ms: 57200\n  - text: 'what '\n    start_ms: 57480\n  - text: 'you '\n    start_ms: 57660\n  - text: 'got, '\n    start_ms: 57780\n  - text: now?\n    start_ms: 58060\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 58780\n  end_ms: 61340\n  words:\n  - text: 'Oh, '\n    start_ms: 58780\n  - text: 'would '\n    start_ms: 58891\n  - text: 'you '\n    start_ms: 59040\n  - text: 'tell '\n    start_ms: 59151\n  - text: 'the '\n    start_ms: 59299\n  - text: 'waiter '\n    start_ms: 59411\n  - text: 'I''d '\n    start_ms: 59745\n  - text: 'like '\n    start_ms: 59893\n  - text: 'to '\n    start_ms: 60023\n  - text: 'have '\n    start_ms: 60171\n  - text: 'sour '\n    start_ms: 60338\n  - text: 'cream '\n    start_ms: 60579\n  - text: 'on '\n    start_ms: 60858\n  - text: 'the '\n    start_ms: 60932\n  - text: side\n    start_ms: 61080\n- text: You better make sure the beans are refried\n  start_ms: 61340\n  end_ms: 62840\n  words:\n  - text: 'You '\n    start_ms: 61340\n  - text: 'better '\n    start_ms: 61420\n  - text: 'make '\n    start_ms: 61560\n  - text: 'sure '\n    start_ms: 61700\n  - text: 'the '\n    start_ms: 61880\n  - text: 'beans '\n    start_ms: 61980\n  - text: 'are '\n    start_ms: 62200\n  - text: refried\n    start_ms: 62320\n- text: Taco\n  start_ms: 66880\n  end_ms: 67380\n  words:\n  - text: Taco\n    start_ms: 66880\n- text: Grande\n  start_ms: 71020\n  end_ms: 71860\n  words:\n  - text: Grande\n    start_ms: 71020\n- text: Taco\n  start_ms: 75850\n  end_ms: 76390\n  words:\n  - text: Taco\n    start_ms: 75850\n- text: Grande\n  start_ms: 80370\n  end_ms: 80370\n  words:\n  - text: Grande\n    start_ms: 80370\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81210\n  end_ms: 83930\n  words:\n  - text: 'Well, '\n    start_ms: 81210\n  - text: 'there''s '\n    start_ms: 81330\n  - text: 'not '\n    start_ms: 81630\n  - text: 'a '\n    start_ms: 81890\n  - text: 'taco '\n    start_ms: 82050\n  - text: 'big '\n    start_ms: 82470\n  - text: 'enough '\n    start_ms: 82670\n  - text: 'for '\n    start_ms: 82890\n  - text: 'a '\n    start_ms: 83070\n  - text: 'man '\n    start_ms: 83210\n  - text: 'like '\n    start_ms: 83470\n  - text: me\n    start_ms: 83750\n- text: That's why I order two or three\n  start_ms: 83950\n  end_ms: 85390\n  words:\n  - text: 'That''s '\n    start_ms: 83950\n  - text: 'why '\n    start_ms: 84130\n  - text: 'I '\n    start_ms: 84310\n  - text: 'order '\n    start_ms: 84430\n  - text: 'two '\n    start_ms: 84690\n  - text: 'or '\n    start_ms: 84910\n  - text: three\n    start_ms: 85070\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 85750\n  end_ms: 88030\n  words:\n  - text: 'Let '\n    start_ms: 85750\n  - text: 'me '\n    start_ms: 85910\n  - text: 'give '\n    start_ms: 86050\n  - text: 'you '\n    start_ms: 86270\n  - text: 'a '\n    start_ms: 86410\n  - text: 'tip, '\n    start_ms: 86530\n  - text: 'just '\n    start_ms: 86790\n  - text: 'try '\n    start_ms: 86910\n  - text: 'a '\n    start_ms: 87110\n  - text: 'nacho '\n    start_ms: 87210\n  - text: chip\n    start_ms: 87710\n- text: It's really good with bean dip\n  start_ms: 88530\n  end_ms: 89750\n  words:\n  - text: 'It''s '\n    start_ms: 88530\n  - text: 'really '\n    start_ms: 88670\n  - text: 'good '\n    start_ms: 88930\n  - text: 'with '\n    start_ms: 89070\n  - text: 'bean '\n    start_ms: 89210\n  - text: dip\n    start_ms: 89490\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90280\n  end_ms: 92820\n  words:\n  - text: 'I '\n    start_ms: 90280\n  - text: 'eat '\n    start_ms: 90400\n  - text: 'uno, '\n    start_ms: 90740\n  - text: 'dos, '\n    start_ms: 91120\n  - text: 'tres, '\n    start_ms: 91460\n  - text: 'cuatro '\n    start_ms: 91860\n  - text: burritos\n    start_ms: 92160\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92940\n  end_ms: 94700\n  words:\n  - text: 'Pretty '\n    start_ms: 92940\n  - text: 'soon '\n    start_ms: 93240\n  - text: 'I '\n    start_ms: 93640\n  - text: 'can''t '\n    start_ms: 93780\n  - text: 'fit '\n    start_ms: 94060\n  - text: 'in '\n    start_ms: 94220\n  - text: 'my '\n    start_ms: 94300\n  - text: Speedos\n    start_ms: 94440\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 94790\n  end_ms: 97170\n  words:\n  - text: 'Well, '\n    start_ms: 94790\n  - text: 'I '\n    start_ms: 94970\n  - text: 'hope '\n    start_ms: 95050\n  - text: 'they '\n    start_ms: 95310\n  - text: 'feed '\n    start_ms: 95510\n  - text: 'us '\n    start_ms: 95770\n  - text: 'lots '\n    start_ms: 95870\n  - text: 'of '\n    start_ms: 96050\n  - text: 'chicken '\n    start_ms: 96150\n  - text: fajitas\n    start_ms: 96450\n- text: And a pitcher of margaritas\n  start_ms: 97520\n  end_ms: 99120\n  words:\n  - text: 'And '\n    start_ms: 97520\n  - text: 'a '\n    start_ms: 97700\n  - text: 'pitcher '\n    start_ms: 97820\n  - text: 'of '\n    start_ms: 98200\n  - text: margaritas\n    start_ms: 98240\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 99240\n  end_ms: 101860\n  words:\n  - text: 'Well, '\n    start_ms: 99240\n  - text: 'the '\n    start_ms: 99380\n  - text: 'combination '\n    start_ms: 99520\n  - text: 'plates '\n    start_ms: 100460\n  - text: 'all '\n    start_ms: 100780\n  - text: 'come '\n    start_ms: 100900\n  - text: 'with '\n    start_ms: 101040\n  - text: 'beans '\n    start_ms: 101200\n  - text: 'and '\n    start_ms: 101440\n  - text: rice\n    start_ms: 101620\n- text: The taquitos here are very nice\n  start_ms: 102080\n  end_ms: 103640\n  words:\n  - text: 'The '\n    start_ms: 102080\n  - text: 'taquitos '\n    start_ms: 102200\n  - text: 'here '\n    start_ms: 102780\n  - text: 'are '\n    start_ms: 102920\n  - text: 'very '\n    start_ms: 103040\n  - text: nice\n    start_ms: 103300\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103950\n  end_ms: 106610\n  words:\n  - text: 'Now '\n    start_ms: 103950\n  - text: 'I''m '\n    start_ms: 104110\n  - text: 'down '\n    start_ms: 104210\n  - text: 'on '\n    start_ms: 104390\n  - text: 'my '\n    start_ms: 104510\n  - text: 'knees, '\n    start_ms: 104650\n  - text: 'we '\n    start_ms: 104970\n  - text: 'need '\n    start_ms: 105070\n  - text: 'some '\n    start_ms: 105210\n  - text: 'extra '\n    start_ms: 105390\n  - text: 'tomatoes '\n    start_ms: 105630\n  - text: 'and '\n    start_ms: 106130\n  - text: cheese\n    start_ms: 106310\n- text: And could you make that separate checks, please?\n  start_ms: 106830\n  end_ms: 108570\n  words:\n  - text: 'And '\n    start_ms: 106830\n  - text: 'could '\n    start_ms: 106930\n  - text: 'you '\n    start_ms: 107090\n  - text: 'make '\n    start_ms: 107170\n  - text: 'that '\n    start_ms: 107330\n  - text: 'separate '\n    start_ms: 107470\n  - text: 'checks, '\n    start_ms: 107770\n  - text: please?\n    start_ms: 108050\n- text: Taco\n  start_ms: 112130\n  end_ms: 112630\n  words:\n  - text: Taco\n    start_ms: 112130\n- text: Grande\n  start_ms: 116780\n  end_ms: 117800\n  words:\n  - text: Grande\n    start_ms: 116780\n- text: Taco\n  start_ms: 121150\n  end_ms: 121690\n  words:\n  - text: Taco\n    start_ms: 121150\n- text: Grande\n  start_ms: 125450\n  end_ms: 126290\n  words:\n  - text: Grande\n    start_ms: 125450\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127070\n  end_ms: 130410\n  words:\n  - text: '\"Buenos '\n    start_ms: 127090\n  - text: 'noches, '\n    start_ms: 127350\n  - text: 'señor. '\n    start_ms: 127650\n  - text: 'bienvenido '\n    start_ms: 128190\n  - text: 'a '\n    start_ms: 128770\n  - text: 'Enrico''s '\n    start_ms: 128890\n  - text: 'Casa '\n    start_ms: 129629\n  - text: 'de '\n    start_ms: 129870\n  - text: Salsa\n    start_ms: 130009\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130520\n  end_ms: 132240\n  words:\n  - text: 'Tenemos '\n    start_ms: 130520\n  - text: 'muchos '\n    start_ms: 130839\n  - text: 'platos '\n    start_ms: 131160\n  - text: 'muy '\n    start_ms: 131559\n  - text: sabrosos\n    start_ms: 131779\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132710\n  end_ms: 136551\n  words:\n  - text: 'Si '\n    start_ms: 132710\n  - text: 'puedo '\n    start_ms: 132831\n  - text: 'recomendar '\n    start_ms: 133031\n  - text: 'el '\n    start_ms: 133611\n  - text: 'ardiente '\n    start_ms: 133771\n  - text: 'pollo '\n    start_ms: 134331\n  - text: 'al '\n    start_ms: 134651\n  - text: 'infierno '\n    start_ms: 134791\n  - text: 'muy '\n    start_ms: 135411\n  - text: delicioso\n    start_ms: 135751\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136920\n  end_ms: 139560\n  words:\n  - text: 'Sus '\n    start_ms: 136920\n  - text: 'ojos '\n    start_ms: 137100\n  - text: 'se '\n    start_ms: 137340\n  - text: 'quemarán, '\n    start_ms: 137440\n  - text: 'su '\n    start_ms: 138200\n  - text: 'estomago '\n    start_ms: 138280\n  - text: 'estará '\n    start_ms: 138740\n  - text: 'en '\n    start_ms: 139080\n  - text: fuego\n    start_ms: 139300\n- text: Se quedarán en el baño por una semana\n  start_ms: 139740\n  end_ms: 141580\n  words:\n  - text: 'Se '\n    start_ms: 139740\n  - text: 'quedarán '\n    start_ms: 139860\n  - text: 'en '\n    start_ms: 140260\n  - text: 'el '\n    start_ms: 140360\n  - text: 'baño '\n    start_ms: 140500\n  - text: 'por '\n    start_ms: 140780\n  - text: 'una '\n    start_ms: 140960\n  - text: semana\n    start_ms: 141160\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141960\n  end_ms: 144520\n  words:\n  - text: 'Entiendes '\n    start_ms: 141960\n  - text: 'lo '\n    start_ms: 142380\n  - text: 'que '\n    start_ms: 142500\n  - text: 'digo '\n    start_ms: 142700\n  - text: 'gringo '\n    start_ms: 143120\n  - text: 'estúpido '\n    start_ms: 143460\n  - text: tonto?\"\n    start_ms: 144020\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144820\n  end_ms: 146900\n  words:\n  - text: 'Well, '\n    start_ms: 144820\n  - text: 'the '\n    start_ms: 144960\n  - text: 'food '\n    start_ms: 145080\n  - text: 'is '\n    start_ms: 145300\n  - text: 'coming, '\n    start_ms: 145500\n  - text: 'I '\n    start_ms: 145960\n  - text: 'can '\n    start_ms: 146020\n  - text: 'hardly '\n    start_ms: 146160\n  - text: wait\n    start_ms: 146600\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147420\n  end_ms: 148920\n  words:\n  - text: 'Now '\n    start_ms: 147420\n  - text: 'watch '\n    start_ms: 147540\n  - text: 'your '\n    start_ms: 147720\n  - text: 'fingers, '\n    start_ms: 147820\n  - text: 'careful '\n    start_ms: 148120\n  - text: 'hot '\n    start_ms: 148400\n  - text: plate!\n    start_ms: 148620\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149230\n  end_ms: 151670\n  words:\n  - text: 'What '\n    start_ms: 149230\n  - text: 'you '\n    start_ms: 149410\n  - text: 'think '\n    start_ms: 149510\n  - text: 'you''re '\n    start_ms: 149690\n  - text: 'doing '\n    start_ms: 149990\n  - text: 'with '\n    start_ms: 150350\n  - text: 'my '\n    start_ms: 150470\n  - text: 'chile '\n    start_ms: 150610\n  - text: 'con '\n    start_ms: 150890\n  - text: queso?\n    start_ms: 151170\n- text: Well, if you want some, just say so\n  start_ms: 151920\n  end_ms: 153340\n  words:\n  - text: 'Well, '\n    start_ms: 151920\n  - text: 'if '\n    start_ms: 152100\n  - text: 'you '\n    start_ms: 152220\n  - text: 'want '\n    start_ms: 152320\n  - text: 'some, '\n    start_ms: 152480\n  - text: 'just '\n    start_ms: 152640\n  - text: 'say '\n    start_ms: 152880\n  - text: so\n    start_ms: 153180\n- text: Oh boy, pico de gallo\n  start_ms: 154070\n  end_ms: 156070\n  words:\n  - text: 'Oh '\n    start_ms: 154070\n  - text: 'boy, '\n    start_ms: 154430\n  - text: 'pico '\n    start_ms: 155290\n  - text: 'de '\n    start_ms: 155590\n  - text: gallo\n    start_ms: 155710\n- text: They sure don't make it like this in Ohio\n  start_ms: 156620\n  end_ms: 158530\n  words:\n  - text: 'They '\n    start_ms: 156620\n  - text: 'sure '\n    start_ms: 156718\n  - text: 'don''t '\n    start_ms: 156876\n  - text: 'make '\n    start_ms: 157053\n  - text: 'it '\n    start_ms: 157230\n  - text: 'like '\n    start_ms: 157309\n  - text: 'this '\n    start_ms: 157506\n  - text: 'in '\n    start_ms: 157782\n  - text: Ohio\n    start_ms: 157939\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158530\n  end_ms: 160910\n  words:\n  - text: 'No '\n    start_ms: 158530\n  - text: 'gracias, '\n    start_ms: 158690\n  - text: 'yo '\n    start_ms: 159250\n  - text: 'quiero '\n    start_ms: 159370\n  - text: 'jalepeños, '\n    start_ms: 159670\n  - text: 'nada '\n    start_ms: 160430\n  - text: más\n    start_ms: 160690\n- text: You can toss away the hot sauce\n  start_ms: 161030\n  end_ms: 162490\n  words:\n  - text: 'You '\n    start_ms: 161030\n  - text: 'can '\n    start_ms: 161130\n  - text: 'toss '\n    start_ms: 161290\n  - text: 'away '\n    start_ms: 161630\n  - text: 'the '\n    start_ms: 161850\n  - text: 'hot '\n    start_ms: 161950\n  - text: sauce\n    start_ms: 162230\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162980\n  end_ms: 165350\n  words:\n  - text: '¿Dónde '\n    start_ms: 163039\n  - text: 'están '\n    start_ms: 163313\n  - text: 'los '\n    start_ms: 163607\n  - text: 'nachos? '\n    start_ms: 163881\n  - text: 'Holy '\n    start_ms: 164645\n  - text: frijole!\n    start_ms: 164919\n- text: You better get me a bowl of guacamole\n  start_ms: 165350\n  end_ms: 167090\n  words:\n  - text: 'You '\n    start_ms: 165350\n  - text: 'better '\n    start_ms: 165470\n  - text: 'get '\n    start_ms: 165770\n  - text: 'me '\n    start_ms: 165930\n  - text: 'a '\n    start_ms: 166210\n  - text: 'bowl '\n    start_ms: 166310\n  - text: 'of '\n    start_ms: 166510\n  - text: guacamole\n    start_ms: 166590\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167390\n  end_ms: 169630\n  words:\n  - text: '¿Y '\n    start_ms: 167490\n  - text: 'usted, '\n    start_ms: 167570\n  - text: 'Eugene? '\n    start_ms: 167970\n  - text: 'Why''s '\n    start_ms: 168490\n  - text: 'your '\n    start_ms: 168670\n  - text: 'face '\n    start_ms: 168790\n  - text: 'turning '\n    start_ms: 168990\n  - text: green?\n    start_ms: 169250\n- text: Don't you like pinto bean?\n  start_ms: 170040\n  end_ms: 171440\n  words:\n  - text: 'Don''t '\n    start_ms: 170040\n  - text: 'you '\n    start_ms: 170220\n  - text: 'like '\n    start_ms: 170400\n  - text: 'pinto '\n    start_ms: 170780\n  - text: bean?\n    start_ms: 171080\n- text: You want some more cinnamon crispas?\n  start_ms: 171890\n  end_ms: 174390\n  words:\n  - text: 'You '\n    start_ms: 171890\n  - text: 'want '\n    start_ms: 172150\n  - text: 'some '\n    start_ms: 172450\n  - text: 'more '\n    start_ms: 172650\n  - text: 'cinnamon '\n    start_ms: 173410\n  - text: crispas?\n    start_ms: 173810\n- text: If you don't, hasta la vista\n  start_ms: 174670\n  end_ms: 175830\n  words:\n  - text: 'If '\n    start_ms: 174670\n  - text: 'you '\n    start_ms: 174790\n  - text: 'don''t, '\n    start_ms: 174930\n  - text: 'hasta '\n    start_ms: 175190\n  - text: 'la '\n    start_ms: 175470\n  - text: vista\n    start_ms: 175590\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176080\n  end_ms: 179300\n  words:\n  - text: 'Just '\n    start_ms: 176080\n  - text: 'take '\n    start_ms: 176320\n  - text: 'the '\n    start_ms: 176560\n  - text: 'rest '\n    start_ms: 176860\n  - text: 'home '\n    start_ms: 177140\n  - text: 'in '\n    start_ms: 177500\n  - text: 'a '\n    start_ms: 177660\n  - text: 'doggie '\n    start_ms: 177860\n  - text: 'bag '\n    start_ms: 178420\n  - text: 'if '\n    start_ms: 178720\n  - text: 'you '\n    start_ms: 178860\n  - text: wanna\n    start_ms: 179020\n- text: You can finish it mañana\n  start_ms: 179380\n  end_ms: 180560\n  words:\n  - text: 'You '\n    start_ms: 179380\n  - text: 'can '\n    start_ms: 179500\n  - text: 'finish '\n    start_ms: 179660\n  - text: 'it '\n    start_ms: 179940\n  - text: mañana\n    start_ms: 180060\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180800\n  end_ms: 183100\n  words:\n  - text: 'Well, '\n    start_ms: 180800\n  - text: 'it''s '\n    start_ms: 180980\n  - text: 'been '\n    start_ms: 181200\n  - text: 'a '\n    start_ms: 181420\n  - text: 'pleasure, '\n    start_ms: 181580\n  - text: 'I '\n    start_ms: 182060\n  - text: 'can''t '\n    start_ms: 182160\n  - text: 'eat '\n    start_ms: 182340\n  - text: 'no '\n    start_ms: 182560\n  - text: more\n    start_ms: 182760\n- text: Señor, la cuenta, por favor\n  start_ms: 183430\n  end_ms: 184610\n  words:\n  - text: 'Señor, '\n    start_ms: 183430\n  - text: 'la '\n    start_ms: 183710\n  - text: 'cuenta, '\n    start_ms: 183830\n  - text: 'por '\n    start_ms: 184130\n  - text: favor\n    start_ms: 184290\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185170\n  end_ms: 188360\n  words:\n  - text: 'If '\n    start_ms: 185170\n  - text: 'you '\n    start_ms: 185405\n  - text: 'ain''t '\n    start_ms: 185640\n  - text: 'tried '\n    start_ms: 186286\n  - text: 'real '\n    start_ms: 186638\n  - text: 'Mexican '\n    start_ms: 186892\n  - text: 'cooking, '\n    start_ms: 187440\n  - text: 'well, '\n    start_ms: 187812\n  - text: 'you '\n    start_ms: 187988\n  - text: oughta\n    start_ms: 188145\n- text: Just don't drink the water\n  start_ms: 188360\n  end_ms: 189420\n  words:\n  - text: 'Just '\n    start_ms: 188360\n  - text: 'don''t '\n    start_ms: 188600\n  - text: 'drink '\n    start_ms: 188740\n  - text: 'the '\n    start_ms: 188920\n  - text: water\n    start_ms: 189040\n- text: Taco\n  start_ms: 193560\n  end_ms: 197800\n  words:\n  - text: Taco\n    start_ms: 193560\n- text: Grande\n  start_ms: 198210\n  end_ms: 198770\n  words:\n  - text: Grande\n    start_ms: 198210\n- text: Taco\n  start_ms: 202640\n  end_ms: 206840\n  words:\n  - text: Taco\n    start_ms: 202640\n- text: Grande\n  start_ms: 207320\n  end_ms: 208120\n  words:\n  - text: Grande\n    start_ms: 207320\n- text: Taco\n  start_ms: 211670\n  end_ms: 211690\n  words:\n  - text: Taco\n    start_ms: 211670\n- text: Grande\n  start_ms: 216310\n  end_ms: 216430\n  words:\n  - text: Grande\n    start_ms: 216310\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":36924309,"name":"Taco Grande","trackName":"Taco Grande","artistName":"\"Weird Al\" Yankovic","albumName":"Squeeze Box: The Complete Works of “Weird Al” Yankovic","duration":224.0,"instrumental":false,"hasWordSync":false,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:09.00] Taco\n[00:15.33] Grande\n[00:20.80] Taco\n[00:24.76] Grande\n[00:26.99] Yo quiero chimichangas y chile colorado\n[00:28.87] Yo tengo el dinero para un steak picado\n[00:31.29] Las flautas y tamales, siempre muy bueno\n[00:33.24] Y el chile relleno\n[00:35.20] You see, I just gotta have a tostada, carne asada\n[00:38.21] That's right, I want the whole enchilada\n[00:40.09] My only addiction has to do with a flour tortilla\n[00:42.81] I need a quesadilla\n[00:44.62] I love to stuff my face with tacos al carbón\n[00:46.70] With my friends, or when I'm all alone\n[00:49.43] Yo tengo mucho hambre y ahora lo quiero\n[00:51.45] Un burrito ranchero\n[00:53.40] So give me something spicy and hot, now\n[00:55.92] Break out the menu, what you got, now?\n[00:57.72] Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:00.75] You better make sure the beans are refried\n[01:02.52] Taco\n[01:08.36] Grande\n[01:11.60] Taco\n[01:17.69] Grande\n[01:20.15] Well, there's not a taco big enough for a man like me\n[01:23.08] That's why I order two or three\n[01:24.69] Let me give you a tip, just try a nacho chip\n[01:26.95] It's really good with bean dip\n[01:28.94] I eat uno, dos, tres, cuatro burritos\n[01:31.54] Pretty soon I can't fit in my Speedos\n[01:33.84] Well, I hope they feed us lots of chicken fajitas\n[01:36.24] And a pitcher of margaritas\n[01:38.08] Well, the combination plates all come with beans and rice\n[01:40.94] The taquitos here are very nice\n[01:42.51] Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:45.47] And could you make that separate checks, please?\n[01:48.32] Taco\n[01:53.62] Grande\n[01:57.94] Taco\n[02:02.56] Grande\n[02:05.47] \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:08.99] Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:14.98] Sus ojos se quemarán, su estomago estará en fuego\n[02:17.72] Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n[02:22.72] Well, the food is coming, I can hardly wait\n[02:24.99] Now watch your fingers, careful hot plate!\n[02:27.28] What you think you're doing with my chile con queso?\n[02:29.80] Well, if you want some, just say so\n[02:31.60] Oh boy, pico de gallo\n[02:34.16] They sure don't make it like this in Ohio\n[02:36.43] No gracias, yo quiero jalepeños, nada más\n[02:39.06] You can toss away the hot sauce\n[02:40.82] ¿Dónde están los nachos? Holy frijole!\n[02:42.95] You better get me a bowl of guacamole\n[02:45.25] ¿Y usted, Eugene? Why's your face turning green?\n[02:47.58] Don't you like pinto bean?\n[02:49.47] You want some more cinnamon crispas?\n[02:52.16] If you don't, hasta la vista\n[02:53.77] Just take the rest home in a doggie bag if you wanna\n[02:57.06] You can finish it mañana\n[02:58.52] Well, it's been a pleasure, I can't eat no more\n[03:00.81] Señor, la cuenta, por favor\n[03:02.85] If you ain't tried real Mexican cooking, well, you oughta\n[03:06.44] Just don't drink the water\n[03:10.08] Taco\n[03:14.85] Grande\n[03:19.09] Taco\n[03:23.22] Grande\n[03:27.98] Taco\n[03:32.83] Grande\n[03:37.08] ","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: '\"Weird Al\" Yankovic'\n  album: 'Squeeze Box: The Complete Works of “Weird Al” Yankovic'\n  duration_ms: 224000\n  instrumental: false\nlines:\n- text: Taco\n  start_ms: 9000\n  end_ms: 15330\n- text: Grande\n  start_ms: 15330\n  end_ms: 20800\n- text: Taco\n  start_ms: 20800\n  end_ms: 24760\n- text: Grande\n  start_ms: 24760\n  end_ms: 26990\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26990\n  end_ms: 28870\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 28870\n  end_ms: 31290\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31290\n  end_ms: 33240\n- text: Y el chile relleno\n  start_ms: 33240\n  end_ms: 35200\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35200\n  end_ms: 38210\n- text: That's right, I want the whole enchilada\n  start_ms: 38210\n  end_ms: 40090\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40090\n  end_ms: 42810\n- text: I need a quesadilla\n  start_ms: 42810\n  end_ms: 44620\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44620\n  end_ms: 46700\n- text: With my friends, or when I'm all alone\n  start_ms: 46700\n  end_ms: 49430\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49430\n  end_ms: 51450\n- text: Un burrito ranchero\n  start_ms: 51450\n  end_ms: 53400\n- text: So give me something spicy and hot, now\n  start_ms: 53400\n  end_ms: 55920\n- text: Break out the menu, what you got, now?\n  start_ms: 55920\n  end_ms: 57720\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 57720\n  end_ms: 60750\n- text: You better make sure the beans are refried\n  start_ms: 60750\n  end_ms: 62520\n- text: Taco\n  start_ms: 62520\n  end_ms: 68360\n- text: Grande\n  start_ms: 68360\n  end_ms: 71600\n- text: Taco\n  start_ms: 71600\n  end_ms: 77690\n- text: Grande\n  start_ms: 77690\n  end_ms: 80150\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 80150\n  end_ms: 83080\n- text: That's why I order two or three\n  start_ms: 83080\n  end_ms: 84690\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 84690\n  end_ms: 86950\n- text: It's really good with bean dip\n  start_ms: 86950\n  end_ms: 88940\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 88940\n  end_ms: 91540\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 91540\n  end_ms: 93840\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 93840\n  end_ms: 96240\n- text: And a pitcher of margaritas\n  start_ms: 96240\n  end_ms: 98080\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 98080\n  end_ms: 100940\n- text: The taquitos here are very nice\n  start_ms: 100940\n  end_ms: 102510\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 102510\n  end_ms: 105470\n- text: And could you make that separate checks, please?\n  start_ms: 105470\n  end_ms: 108320\n- text: Taco\n  start_ms: 108320\n  end_ms: 113620\n- text: Grande\n  start_ms: 113620\n  end_ms: 117940\n- text: Taco\n  start_ms: 117940\n  end_ms: 122560\n- text: Grande\n  start_ms: 122560\n  end_ms: 125470\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 125470\n  end_ms: 128990\n- text: Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 128990\n  end_ms: 134980\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 134980\n  end_ms: 137720\n- text: Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 137720\n  end_ms: 142720\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 142720\n  end_ms: 144990\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 144990\n  end_ms: 147280\n- text: What you think you're doing with my chile con queso?\n  start_ms: 147280\n  end_ms: 149800\n- text: Well, if you want some, just say so\n  start_ms: 149800\n  end_ms: 151600\n- text: Oh boy, pico de gallo\n  start_ms: 151600\n  end_ms: 154160\n- text: They sure don't make it like this in Ohio\n  start_ms: 154160\n  end_ms: 156430\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 156430\n  end_ms: 159060\n- text: You can toss away the hot sauce\n  start_ms: 159060\n  end_ms: 160820\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 160820\n  end_ms: 162950\n- text: You better get me a bowl of guacamole\n  start_ms: 162950\n  end_ms: 165250\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 165250\n  end_ms: 167580\n- text: Don't you like pinto bean?\n  start_ms: 167580\n  end_ms: 169470\n- text: You want some more cinnamon crispas?\n  start_ms: 169470\n  end_ms: 172160\n- text: If you don't, hasta la vista\n  start_ms: 172160\n  end_ms: 173770\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 173770\n  end_ms: 177060\n- text: You can finish it mañana\n  start_ms: 177060\n  end_ms: 178520\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 178520\n  end_ms: 180810\n- text: Señor, la cuenta, por favor\n  start_ms: 180810\n  end_ms: 182850\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 182850\n  end_ms: 186440\n- text: Just don't drink the water\n  start_ms: 186440\n  end_ms: 190080\n- text: Taco\n  start_ms: 190080\n  end_ms: 194850\n- text: Grande\n  start_ms: 194850\n  end_ms: 199090\n- text: Taco\n  start_ms: 199090\n  end_ms: 203220\n- text: Grande\n  start_ms: 203220\n  end_ms: 207980\n- text: Taco\n  start_ms: 207980\n  end_ms: 212830\n- text: Grande\n  start_ms: 212830\n  end_ms: 217080\n- text: ''\n  start_ms: 217080\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":40231238,"name":"Taco Grande","trackName":"Taco Grande","artistName":"“Weird Al” Yankovic","albumName":"Squeeze Box: The Complete Works of “Weird Al” Yankovic","duration":225.0,"instrumental":false,"hasWordSync":false,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos\nSi puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana\nEntiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.44] Taco\n[00:12.93] Grande\n[00:12.99] Taco\n[00:16.69] Grande\n[00:19.65] \n[00:26.89] Yo quiero chimichangas y chile colorado\n[00:29.16] Yo tengo el dinero para un steak picado\n[00:31.36] Las flautas y tamales, siempre muy bueno\n[00:33.93] Y el chile relleno\n[00:35.54] You see, I just gotta have a tostada, carne asada\n[00:38.54] That's right, I want the whole enchilada\n[00:40.32] My only addiction has to do with a flour tortilla\n[00:43.17] I need a quesadilla\n[00:44.58] I love to stuff my face with tacos al carbón\n[00:47.20] With my friends, or when I'm all alone\n[00:49.04] Yo tengo mucho hambre y ahora lo quiero\n[00:51.70] Un burrito ranchero\n[00:53.57] So give me something spicy and hot, now\n[00:56.26] Break out the menu, what you got, now?\n[00:57.97] Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:00.77] You better make sure the beans are refried\n[01:06.13] Taco\n[01:10.30] Grande\n[01:15.03] Taco\n[01:18.80] Grande\n[01:20.23] Well, there's not a taco big enough for a man like me\n[01:23.03] That's why I order two or three\n[01:24.84] Let me give you a tip, just try a nacho chip\n[01:27.54] It's really good with bean dip\n[01:29.21] I eat uno, dos, tres, cuatro burritos\n[01:31.96] Pretty soon I can't fit in my Speedos\n[01:33.88] Well, I hope they feed us lots of chicken fajitas\n[01:36.46] And a pitcher of margaritas\n[01:38.29] Well, the combination plates all come with beans and rice\n[01:40.97] The taquitos here are very nice\n[01:42.75] Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:45.48] And could you make that separate checks, please?\n[01:50.84] Taco\n[01:55.02] Grande\n[01:59.72] Taco\n[02:03.98] Grande\n[02:05.47] \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:08.94] Tenemos muchos platos muy sabrosos\n[02:11.06] Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:15.15] Sus ojos se quemarán, su estomago estará en fuego\n[02:18.04] Se quedarán en el baño por una semana\n[02:20.11] Entiendes lo que digo gringo estúpido tonto?\"\n[02:22.97] Well, the food is coming, I can hardly wait\n[02:25.61] Now watch your fingers, careful hot plate!\n[02:27.48] What you think you're doing with my chile con queso?\n[02:30.03] Well, if you want some, just say so\n[02:32.28] Oh boy, pico de gallo\n[02:34.51] They sure don't make it like this in Ohio\n[02:36.64] No gracias, yo quiero jalepeños, nada más\n[02:39.02] You can toss away the hot sauce\n[02:40.62] ¿Dónde están los nachos? Holy frijole!\n[02:43.56] You better get me a bowl of guacamole\n[02:45.26] ¿Y usted, Eugene? Why's your face turning green?\n[02:47.95] Don't you like pinto bean?\n[02:49.71] You want some more cinnamon crispas?\n[02:52.47] If you don't, hasta la vista\n[02:53.72] Just take the rest home in a doggie bag if you wanna\n[02:57.09] You can finish it mañana\n[02:58.63] Well, it's been a pleasure, I can't eat no more\n[03:01.32] Señor, la cuenta, por favor\n[03:02.77] If you ain't tried real Mexican cooking, well, you oughta\n[03:06.19] Just don't drink the water\n[03:11.20] Taco\n[03:15.71] Grande\n[03:18.27] \n[03:29.12] Taco\n[03:33.32] Grande\n[03:36.12] \n[03:44.10] Taco\n[03:44.29] Grande\n[03:44.41] ","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: “Weird Al” Yankovic\n  album: 'Squeeze Box: The Complete Works of “Weird Al” Yankovic'\n  duration_ms: 224640\n  instrumental: false\nlines:\n- text: Taco\n  start_ms: 12440\n  end_ms: 12930\n- text: Grande\n  start_ms: 12930\n  end_ms: 12990\n- text: Taco\n  start_ms: 12990\n  end_ms: 16690\n- text: Grande\n  start_ms: 16690\n  end_ms: 19650\n- text: ''\n  start_ms: 19650\n  end_ms: 26890\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26890\n  end_ms: 29160\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29160\n  end_ms: 31360\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31360\n  end_ms: 33930\n- text: Y el chile relleno\n  start_ms: 33930\n  end_ms: 35540\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35540\n  end_ms: 38540\n- text: That's right, I want the whole enchilada\n  start_ms: 38540\n  end_ms: 40320\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40320\n  end_ms: 43170\n- text: I need a quesadilla\n  start_ms: 43170\n  end_ms: 44580\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44580\n  end_ms: 47200\n- text: With my friends, or when I'm all alone\n  start_ms: 47200\n  end_ms: 49040\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49040\n  end_ms: 51700\n- text: Un burrito ranchero\n  start_ms: 51700\n  end_ms: 53570\n- text: So give me something spicy and hot, now\n  start_ms: 53570\n  end_ms: 56260\n- text: Break out the menu, what you got, now?\n  start_ms: 56260\n  end_ms: 57970\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 57970\n  end_ms: 60770\n- text: You better make sure the beans are refried\n  start_ms: 60770\n  end_ms: 66130\n- text: Taco\n  start_ms: 66130\n  end_ms: 70300\n- text: Grande\n  start_ms: 70300\n  end_ms: 75030\n- text: Taco\n  start_ms: 75030\n  end_ms: 78800\n- text: Grande\n  start_ms: 78800\n  end_ms: 80230\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 80230\n  end_ms: 83030\n- text: That's why I order two or three\n  start_ms: 83030\n  end_ms: 84840\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 84840\n  end_ms: 87540\n- text: It's really good with bean dip\n  start_ms: 87540\n  end_ms: 89210\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 89210\n  end_ms: 91960\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 91960\n  end_ms: 93880\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 93880\n  end_ms: 96460\n- text: And a pitcher of margaritas\n  start_ms: 96460\n  end_ms: 98290\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 98290\n  end_ms: 100970\n- text: The taquitos here are very nice\n  start_ms: 100970\n  end_ms: 102750\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 102750\n  end_ms: 105480\n- text: And could you make that separate checks, please?\n  start_ms: 105480\n  end_ms: 110840\n- text: Taco\n  start_ms: 110840\n  end_ms: 115020\n- text: Grande\n  start_ms: 115020\n  end_ms: 119720\n- text: Taco\n  start_ms: 119720\n  end_ms: 123980\n- text: Grande\n  start_ms: 123980\n  end_ms: 125470\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 125470\n  end_ms: 128940\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 128940\n  end_ms: 131060\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 131060\n  end_ms: 135150\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 135150\n  end_ms: 138040\n- text: Se quedarán en el baño por una semana\n  start_ms: 138040\n  end_ms: 140110\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 140110\n  end_ms: 142970\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 142970\n  end_ms: 145610\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 145610\n  end_ms: 147480\n- text: What you think you're doing with my chile con queso?\n  start_ms: 147480\n  end_ms: 150030\n- text: Well, if you want some, just say so\n  start_ms: 150030\n  end_ms: 152280\n- text: Oh boy, pico de gallo\n  start_ms: 152280\n  end_ms: 154510\n- text: They sure don't make it like this in Ohio\n  start_ms: 154510\n  end_ms: 156640\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 156640\n  end_ms: 159020\n- text: You can toss away the hot sauce\n  start_ms: 159020\n  end_ms: 160620\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 160620\n  end_ms: 163560\n- text: You better get me a bowl of guacamole\n  start_ms: 163560\n  end_ms: 165260\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 165260\n  end_ms: 167950\n- text: Don't you like pinto bean?\n  start_ms: 167950\n  end_ms: 169710\n- text: You want some more cinnamon crispas?\n  start_ms: 169710\n  end_ms: 172470\n- text: If you don't, hasta la vista\n  start_ms: 172470\n  end_ms: 173720\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 173720\n  end_ms: 177090\n- text: You can finish it mañana\n  start_ms: 177090\n  end_ms: 178630\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 178630\n  end_ms: 181320\n- text: Señor, la cuenta, por favor\n  start_ms: 181320\n  end_ms: 182770\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 182770\n  end_ms: 186190\n- text: Just don't drink the water\n  start_ms: 186190\n  end_ms: 191200\n- text: Taco\n  start_ms: 191200\n  end_ms: 195710\n- text: Grande\n  start_ms: 195710\n  end_ms: 198270\n- text: ''\n  start_ms: 198270\n  end_ms: 209120\n- text: Taco\n  start_ms: 209120\n  end_ms: 213320\n- text: Grande\n  start_ms: 213320\n  end_ms: 216120\n- text: ''\n  start_ms: 216120\n  end_ms: 224100\n- text: Taco\n  start_ms: 224100\n  end_ms: 224290\n- text: Grande\n  start_ms: 224290\n  end_ms: 224410\n- text: ''\n  start_ms: 224410\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos\n  Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana\n  Entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":16699774,"name":"Taco Grande","trackName":"Taco Grande","artistName":"“Weird Al” Yankovic","albumName":"Squeeze Box∶ The Complete Works Of ′′Weird Al′′ Yankovic (Disc 7∶ Off The Deep End)","duration":227.893333,"instrumental":false,"hasWordSync":false,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos\nSi puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana\nEntiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.25] Taco\n[00:16.51] Grande\n[00:21.13] Taco\n[00:25.41] Grande\n[00:26.97] Yo quiero chimichangas y chile colorado\n[00:29.29] Yo tengo el dinero para un steak picado\n[00:31.59] Las flautas y tamales, siempre muy bueno\n[00:33.99] Y el chile relleno\n[00:35.53] You see, I just gotta have a tostada, carne asada\n[00:38.63] That's right, I want the whole enchilada\n[00:40.58] My only addiction has to do with a flour tortilla\n[00:43.45] I need a quesadilla\n[00:44.74] I love to stuff my face with tacos al carbón\n[00:47.50] With my friends, or when I'm all alone\n[00:49.49] Yo tengo mucho hambre y ahora lo quiero\n[00:51.92] Un burrito ranchero\n[00:54.18] So give me something spicy and hot, now\n[00:56.75] Break out the menu, what you got, now?\n[00:58.72] Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:01.31] You better make sure the beans are refried\n[01:06.83] Taco\n[01:11.09] Grande\n[01:15.87] Taco\n[01:20.35] Grande\n[01:21.24] Well, there's not a taco big enough for a man like me\n[01:23.91] That's why I order two or three\n[01:25.75] Let me give you a tip, just try a nacho chip\n[01:28.50] It's really good with bean dip\n[01:30.28] I eat uno, dos, tres, cuatro burritos\n[01:32.96] Pretty soon I can't fit in my Speedos\n[01:34.78] Well, I hope they feed us lots of chicken fajitas\n[01:37.54] And a pitcher of margaritas\n[01:39.28] Well, the combination plates all come with beans and rice\n[01:42.02] The taquitos here are very nice\n[01:43.95] Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:46.86] And could you make that separate checks, please?\n[01:52.11] Taco\n[01:56.75] Grande\n[02:01.15] Taco\n[02:05.43] Grande\n[02:07.08] \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:10.54] Tenemos muchos platos muy sabrosos\n[02:12.79] Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:16.92] Sus ojos se quemarán, su estomago estará en fuego\n[02:19.74] Se quedarán en el baño por una semana\n[02:21.99] Entiendes lo que digo gringo estúpido tonto?\"\n[02:24.85] Well, the food is coming, I can hardly wait\n[02:27.43] Now watch your fingers, careful hot plate!\n[02:29.23] What you think you're doing with my chile con queso?\n[02:31.98] Well, if you want some, just say so\n[02:34.05] Oh boy, pico de gallo\n[02:36.65] They sure don't make it like this in Ohio\n[02:38.57] No gracias, yo quiero jalepeños, nada más\n[02:41.02] You can toss away the hot sauce\n[02:42.91] ¿Dónde están los nachos? Holy frijole!\n[02:45.31] You better get me a bowl of guacamole\n[02:47.34] ¿Y usted, Eugene? Why's your face turning green?\n[02:50.06] Don't you like pinto bean?\n[02:51.82] You want some more cinnamon crispas?\n[02:54.62] If you don't, hasta la vista\n[02:56.03] Just take the rest home in a doggie bag if you wanna\n[02:59.31] You can finish it mañana\n[03:00.87] Well, it's been a pleasure, I can't eat no more\n[03:03.42] Señor, la cuenta, por favor\n[03:05.13] If you ain't tried real Mexican cooking, well, you oughta\n[03:08.33] Just don't drink the water\n[03:13.58] Taco\n[03:18.25] Grande\n[03:22.69] Taco\n[03:27.34] Grande\n[03:31.69] Taco\n[03:36.37] Grande\n[03:37.98] ","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: “Weird Al” Yankovic\n  album: Squeeze Box∶ The Complete Works Of ′′Weird Al′′ Yankovic (Disc 7∶ Off The Deep End)\n  duration_ms: 227893\n  instrumental: false\nlines:\n- text: Taco\n  start_ms: 12250\n  end_ms: 16510\n- text: Grande\n  start_ms: 16510\n  end_ms: 21130\n- text: Taco\n  start_ms: 21130\n  end_ms: 25410\n- text: Grande\n  start_ms: 25410\n  end_ms: 26970\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26970\n  end_ms: 29290\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29290\n  end_ms: 31590\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31590\n  end_ms: 33990\n- text: Y el chile relleno\n  start_ms: 33990\n  end_ms: 35530\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35530\n  end_ms: 38630\n- text: That's right, I want the whole enchilada\n  start_ms: 38630\n  end_ms: 40580\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40580\n  end_ms: 43450\n- text: I need a quesadilla\n  start_ms: 43450\n  end_ms: 44740\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44740\n  end_ms: 47500\n- text: With my friends, or when I'm all alone\n  start_ms: 47500\n  end_ms: 49490\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49490\n  end_ms: 51920\n- text: Un burrito ranchero\n  start_ms: 51920\n  end_ms: 54180\n- text: So give me something spicy and hot, now\n  start_ms: 54180\n  end_ms: 56750\n- text: Break out the menu, what you got, now?\n  start_ms: 56750\n  end_ms: 58720\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 58720\n  end_ms: 61310\n- text: You better make sure the beans are refried\n  start_ms: 61310\n  end_ms: 66830\n- text: Taco\n  start_ms: 66830\n  end_ms: 71090\n- text: Grande\n  start_ms: 71090\n  end_ms: 75870\n- text: Taco\n  start_ms: 75870\n  end_ms: 80350\n- text: Grande\n  start_ms: 80350\n  end_ms: 81240\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81240\n  end_ms: 83910\n- text: That's why I order two or three\n  start_ms: 83910\n  end_ms: 85750\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 85750\n  end_ms: 88500\n- text: It's really good with bean dip\n  start_ms: 88500\n  end_ms: 90280\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90280\n  end_ms: 92960\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92960\n  end_ms: 94780\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 94780\n  end_ms: 97540\n- text: And a pitcher of margaritas\n  start_ms: 97540\n  end_ms: 99280\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 99280\n  end_ms: 102020\n- text: The taquitos here are very nice\n  start_ms: 102020\n  end_ms: 103950\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103950\n  end_ms: 106860\n- text: And could you make that separate checks, please?\n  start_ms: 106860\n  end_ms: 112110\n- text: Taco\n  start_ms: 112110\n  end_ms: 116750\n- text: Grande\n  start_ms: 116750\n  end_ms: 121150\n- text: Taco\n  start_ms: 121150\n  end_ms: 125430\n- text: Grande\n  start_ms: 125430\n  end_ms: 127080\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127080\n  end_ms: 130540\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130540\n  end_ms: 132790\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132790\n  end_ms: 136920\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136920\n  end_ms: 139740\n- text: Se quedarán en el baño por una semana\n  start_ms: 139740\n  end_ms: 141990\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141990\n  end_ms: 144850\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144850\n  end_ms: 147430\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147430\n  end_ms: 149230\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149230\n  end_ms: 151980\n- text: Well, if you want some, just say so\n  start_ms: 151980\n  end_ms: 154050\n- text: Oh boy, pico de gallo\n  start_ms: 154050\n  end_ms: 156650\n- text: They sure don't make it like this in Ohio\n  start_ms: 156650\n  end_ms: 158570\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158570\n  end_ms: 161020\n- text: You can toss away the hot sauce\n  start_ms: 161020\n  end_ms: 162910\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162910\n  end_ms: 165310\n- text: You better get me a bowl of guacamole\n  start_ms: 165310\n  end_ms: 167340\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167340\n  end_ms: 170060\n- text: Don't you like pinto bean?\n  start_ms: 170060\n  end_ms: 171820\n- text: You want some more cinnamon crispas?\n  start_ms: 171820\n  end_ms: 174620\n- text: If you don't, hasta la vista\n  start_ms: 174620\n  end_ms: 176030\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176030\n  end_ms: 179310\n- text: You can finish it mañana\n  start_ms: 179310\n  end_ms: 180870\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180870\n  end_ms: 183420\n- text: Señor, la cuenta, por favor\n  start_ms: 183420\n  end_ms: 185130\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185130\n  end_ms: 188330\n- text: Just don't drink the water\n  start_ms: 188330\n  end_ms: 193580\n- text: Taco\n  start_ms: 193580\n  end_ms: 198250\n- text: Grande\n  start_ms: 198250\n  end_ms: 202690\n- text: Taco\n  start_ms: 202690\n  end_ms: 207340\n- text: Grande\n  start_ms: 207340\n  end_ms: 211690\n- text: Taco\n  start_ms: 211690\n  end_ms: 216370\n- text: Grande\n  start_ms: 216370\n  end_ms: 217980\n- text: ''\n  start_ms: 217980\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos\n  Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana\n  Entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":1300392,"name":"Taco Grande","trackName":"Taco Grande","artistName":"Weird Al Yankovic","albumName":"Permanent Record: Al In The Box","duration":228.0,"instrumental":false,"hasWordSync":true,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.24]Taco\n[00:16.50]Grande\n[00:21.19]Taco\n[00:25.42]Grande\n[00:26.98]Yo quiero chimichangas y chile colorado\n[00:29.25]Yo tengo el dinero para un steak picado\n[00:31.52]Las flautas y tamales, siempre muy bueno\n[00:33.91]Y el chile relleno\n[00:35.52]You see, I just gotta have a tostada, carne asada\n[00:38.69]That's right, I want the whole enchilada\n[00:40.57]My only addiction has to do with a flour tortilla\n[00:43.45]I need a quesadilla\n[00:44.74]I love to stuff my face with tacos al carbón\n[00:47.51]With my friends, or when I'm all alone\n[00:49.45]Yo tengo mucho hambre y ahora lo quiero\n[00:51.90]Un burrito ranchero\n[00:54.18]So give me something spicy and hot, now\n[00:56.76]Break out the menu, what you got, now?\n[00:58.78]Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:01.34]You better make sure the beans are refried\n[01:06.88]Taco\n[01:11.02]Grande\n[01:15.85]Taco\n[01:20.37]Grande\n[01:21.21]Well, there's not a taco big enough for a man like me\n[01:23.95]That's why I order two or three\n[01:25.75]Let me give you a tip, just try a nacho chip\n[01:28.53]It's really good with bean dip\n[01:30.28]I eat uno, dos, tres, cuatro burritos\n[01:32.94]Pretty soon I can't fit in my Speedos\n[01:34.79]Well, I hope they feed us lots of chicken fajitas\n[01:37.52]And a pitcher of margaritas\n[01:39.24]Well, the combination plates all come with beans and rice\n[01:42.08]The taquitos here are very nice\n[01:43.95]Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:46.83]And could you make that separate checks, please?\n[01:52.13]Taco\n[01:56.78]Grande\n[02:01.15]Taco\n[02:05.45]Grande\n[02:07.07]\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:10.52]Tenemos muchos platos muy sabrosos\n[02:12.71]Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:16.92]Sus ojos se quemarán, su estomago estará en fuego\n[02:19.74]Se quedarán en el baño por una semana\n[02:21.96]Entiendes lo que digo gringo estúpido tonto?\"\n[02:24.82]Well, the food is coming, I can hardly wait\n[02:27.42]Now watch your fingers, careful hot plate!\n[02:29.23]What you think you're doing with my chile con queso?\n[02:31.92]Well, if you want some, just say so\n[02:34.07]Oh boy, pico de gallo\n[02:36.62]They sure don't make it like this in Ohio\n[02:38.53]No gracias, yo quiero jalepeños, nada más\n[02:41.03]You can toss away the hot sauce\n[02:42.98]¿Dónde están los nachos? Holy frijole!\n[02:45.35]You better get me a bowl of guacamole\n[02:47.39]¿Y usted, Eugene? Why's your face turning green?\n[02:50.04]Don't you like pinto bean?\n[02:51.89]You want some more cinnamon crispas?\n[02:54.67]If you don't, hasta la vista\n[02:56.08]Just take the rest home in a doggie bag if you wanna\n[02:59.38]You can finish it mañana\n[03:00.80]Well, it's been a pleasure, I can't eat no more\n[03:03.43]Señor, la cuenta, por favor\n[03:05.17]If you ain't tried real Mexican cooking, well, you oughta\n[03:08.36]Just don't drink the water\n[03:13.56]Taco\n[03:18.21]Grande\n[03:22.64]Taco\n[03:27.32]Grande\n[03:31.67]Taco\n[03:36.31]Grande","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: Weird Al Yankovic\n  album: 'Permanent Record: Al In The Box'\n  duration_ms: 228000\n  instrumental: false\n  language: en\nlines:\n- text: Taco\n  start_ms: 12240\n  end_ms: 12720\n  words:\n  - text: Taco\n    start_ms: 12240\n- text: Grande\n  start_ms: 16500\n  end_ms: 16500\n  words:\n  - text: Grande\n    start_ms: 16500\n- text: Taco\n  start_ms: 21190\n  end_ms: 21250\n  words:\n  - text: Taco\n    start_ms: 21190\n- text: Grande\n  start_ms: 25420\n  end_ms: 26380\n  words:\n  - text: Grande\n    start_ms: 25420\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26980\n  end_ms: 29060\n  words:\n  - text: 'Yo '\n    start_ms: 26980\n  - text: 'quiero '\n    start_ms: 27100\n  - text: 'chimichangas '\n    start_ms: 27380\n  - text: 'y '\n    start_ms: 28140\n  - text: 'chile '\n    start_ms: 28220\n  - text: colorado\n    start_ms: 28540\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29250\n  end_ms: 31310\n  words:\n  - text: 'Yo '\n    start_ms: 29250\n  - text: 'tengo '\n    start_ms: 29370\n  - text: 'el '\n    start_ms: 29710\n  - text: 'dinero '\n    start_ms: 29830\n  - text: 'para '\n    start_ms: 30330\n  - text: 'un '\n    start_ms: 30570\n  - text: 'steak '\n    start_ms: 30690\n  - text: picado\n    start_ms: 30910\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31520\n  end_ms: 33720\n  words:\n  - text: 'Las '\n    start_ms: 31520\n  - text: 'flautas '\n    start_ms: 31660\n  - text: 'y '\n    start_ms: 32000\n  - text: 'tamales, '\n    start_ms: 32120\n  - text: 'siempre '\n    start_ms: 32659\n  - text: 'muy '\n    start_ms: 33100\n  - text: bueno\n    start_ms: 33320\n- text: Y el chile relleno\n  start_ms: 33910\n  end_ms: 35210\n  words:\n  - text: 'Y '\n    start_ms: 33910\n  - text: 'el '\n    start_ms: 34010\n  - text: 'chile '\n    start_ms: 34130\n  - text: relleno\n    start_ms: 34590\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35520\n  end_ms: 38400\n  words:\n  - text: 'You '\n    start_ms: 35520\n  - text: 'see, '\n    start_ms: 35620\n  - text: 'I '\n    start_ms: 35980\n  - text: 'just '\n    start_ms: 36120\n  - text: 'gotta '\n    start_ms: 36360\n  - text: 'have '\n    start_ms: 36760\n  - text: 'a '\n    start_ms: 36920\n  - text: 'tostada, '\n    start_ms: 37020\n  - text: 'carne '\n    start_ms: 37560\n  - text: asada\n    start_ms: 37940\n- text: That's right, I want the whole enchilada\n  start_ms: 38690\n  end_ms: 40230\n  words:\n  - text: 'That''s '\n    start_ms: 38690\n  - text: 'right, '\n    start_ms: 38890\n  - text: 'I '\n    start_ms: 39070\n  - text: 'want '\n    start_ms: 39130\n  - text: 'the '\n    start_ms: 39290\n  - text: 'whole '\n    start_ms: 39390\n  - text: enchilada\n    start_ms: 39610\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40570\n  end_ms: 43190\n  words:\n  - text: 'My '\n    start_ms: 40570\n  - text: 'only '\n    start_ms: 40750\n  - text: 'addiction '\n    start_ms: 41030\n  - text: 'has '\n    start_ms: 41530\n  - text: 'to '\n    start_ms: 41690\n  - text: 'do '\n    start_ms: 41830\n  - text: 'with '\n    start_ms: 41970\n  - text: 'a '\n    start_ms: 42070\n  - text: 'flour '\n    start_ms: 42190\n  - text: tortilla\n    start_ms: 42510\n- text: I need a quesadilla\n  start_ms: 43450\n  end_ms: 44550\n  words:\n  - text: 'I '\n    start_ms: 43450\n  - text: 'need '\n    start_ms: 43530\n  - text: 'a '\n    start_ms: 43710\n  - text: quesadilla\n    start_ms: 43810\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44740\n  end_ms: 47040\n  words:\n  - text: 'I '\n    start_ms: 44740\n  - text: 'love '\n    start_ms: 44800\n  - text: 'to '\n    start_ms: 44960\n  - text: 'stuff '\n    start_ms: 45080\n  - text: 'my '\n    start_ms: 45300\n  - text: 'face '\n    start_ms: 45540\n  - text: 'with '\n    start_ms: 45820\n  - text: 'tacos '\n    start_ms: 45960\n  - text: 'al '\n    start_ms: 46280\n  - text: carbón\n    start_ms: 46420\n- text: With my friends, or when I'm all alone\n  start_ms: 47510\n  end_ms: 49010\n  words:\n  - text: 'With '\n    start_ms: 47510\n  - text: 'my '\n    start_ms: 47630\n  - text: 'friends, '\n    start_ms: 47790\n  - text: 'or '\n    start_ms: 48110\n  - text: 'when '\n    start_ms: 48210\n  - text: 'I''m '\n    start_ms: 48390\n  - text: 'all '\n    start_ms: 48530\n  - text: alone\n    start_ms: 48670\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49450\n  end_ms: 51900\n  words:\n  - text: 'Yo '\n    start_ms: 49450\n  - text: 'tengo '\n    start_ms: 49567\n  - text: 'mucho '\n    start_ms: 49839\n  - 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text: 'You '\n    start_ms: 61340\n  - text: 'better '\n    start_ms: 61420\n  - text: 'make '\n    start_ms: 61560\n  - text: 'sure '\n    start_ms: 61700\n  - text: 'the '\n    start_ms: 61880\n  - text: 'beans '\n    start_ms: 61980\n  - text: 'are '\n    start_ms: 62200\n  - text: refried\n    start_ms: 62320\n- text: Taco\n  start_ms: 66880\n  end_ms: 67380\n  words:\n  - text: Taco\n    start_ms: 66880\n- text: Grande\n  start_ms: 71020\n  end_ms: 71860\n  words:\n  - text: Grande\n    start_ms: 71020\n- text: Taco\n  start_ms: 75850\n  end_ms: 76390\n  words:\n  - text: Taco\n    start_ms: 75850\n- text: Grande\n  start_ms: 80370\n  end_ms: 80370\n  words:\n  - text: Grande\n    start_ms: 80370\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81210\n  end_ms: 83930\n  words:\n  - text: 'Well, '\n    start_ms: 81210\n  - text: 'there''s '\n    start_ms: 81330\n  - text: 'not '\n    start_ms: 81630\n  - text: 'a '\n    start_ms: 81890\n  - text: 'taco '\n    start_ms: 82050\n  - text: 'big '\n    start_ms: 82470\n  - text: 'enough '\n    start_ms: 82670\n  - text: 'for '\n    start_ms: 82890\n  - text: 'a '\n    start_ms: 83070\n  - text: 'man '\n    start_ms: 83210\n  - text: 'like '\n    start_ms: 83470\n  - text: me\n    start_ms: 83750\n- text: That's why I order two or three\n  start_ms: 83950\n  end_ms: 85390\n  words:\n  - text: 'That''s '\n    start_ms: 83950\n  - text: 'why '\n    start_ms: 84130\n  - text: 'I '\n    start_ms: 84310\n  - text: 'order '\n    start_ms: 84430\n  - text: 'two '\n    start_ms: 84690\n  - text: 'or '\n    start_ms: 84910\n  - text: three\n    start_ms: 85070\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 85750\n  end_ms: 88030\n  words:\n  - text: 'Let '\n    start_ms: 85750\n  - text: 'me '\n    start_ms: 85910\n  - text: 'give '\n    start_ms: 86050\n  - text: 'you '\n    start_ms: 86270\n  - text: 'a '\n    start_ms: 86410\n  - text: 'tip, '\n    start_ms: 86530\n  - text: 'just '\n    start_ms: 86790\n  - text: 'try '\n    start_ms: 86910\n  - text: 'a '\n    start_ms: 87110\n  - text: 'nacho '\n    start_ms: 87210\n  - text: chip\n    start_ms: 87710\n- text: It's really good with bean dip\n  start_ms: 88530\n  end_ms: 89750\n  words:\n  - text: 'It''s '\n    start_ms: 88530\n  - text: 'really '\n    start_ms: 88670\n  - text: 'good '\n    start_ms: 88930\n  - text: 'with '\n    start_ms: 89070\n  - text: 'bean '\n    start_ms: 89210\n  - text: dip\n    start_ms: 89490\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90280\n  end_ms: 92820\n  words:\n  - text: 'I '\n    start_ms: 90280\n  - text: 'eat '\n    start_ms: 90400\n  - text: 'uno, '\n    start_ms: 90740\n  - text: 'dos, '\n    start_ms: 91120\n  - text: 'tres, '\n    start_ms: 91460\n  - text: 'cuatro '\n    start_ms: 91860\n  - text: burritos\n    start_ms: 92160\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92940\n  end_ms: 94700\n  words:\n  - text: 'Pretty '\n    start_ms: 92940\n  - text: 'soon '\n    start_ms: 93240\n  - text: 'I '\n    start_ms: 93640\n  - text: 'can''t '\n    start_ms: 93780\n  - text: 'fit '\n    start_ms: 94060\n  - text: 'in '\n    start_ms: 94220\n  - text: 'my '\n    start_ms: 94300\n  - text: Speedos\n    start_ms: 94440\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 94790\n  end_ms: 97170\n  words:\n  - text: 'Well, '\n    start_ms: 94790\n  - text: 'I '\n    start_ms: 94970\n  - text: 'hope '\n    start_ms: 95050\n  - text: 'they '\n    start_ms: 95310\n  - text: 'feed '\n    start_ms: 95510\n  - text: 'us '\n    start_ms: 95770\n  - text: 'lots '\n    start_ms: 95870\n  - text: 'of '\n    start_ms: 96050\n  - text: 'chicken '\n    start_ms: 96150\n  - text: fajitas\n    start_ms: 96450\n- text: And a pitcher of margaritas\n  start_ms: 97520\n  end_ms: 99120\n  words:\n  - text: 'And '\n    start_ms: 97520\n  - text: 'a '\n    start_ms: 97700\n  - text: 'pitcher '\n    start_ms: 97820\n  - text: 'of '\n    start_ms: 98200\n  - text: margaritas\n    start_ms: 98240\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 99240\n  end_ms: 101860\n  words:\n  - text: 'Well, '\n    start_ms: 99240\n  - text: 'the '\n    start_ms: 99380\n  - text: 'combination '\n    start_ms: 99520\n  - text: 'plates '\n    start_ms: 100460\n  - text: 'all '\n    start_ms: 100780\n  - text: 'come '\n    start_ms: 100900\n  - text: 'with '\n    start_ms: 101040\n  - text: 'beans '\n    start_ms: 101200\n  - text: 'and '\n    start_ms: 101440\n  - text: rice\n    start_ms: 101620\n- text: The taquitos here are very nice\n  start_ms: 102080\n  end_ms: 103640\n  words:\n  - text: 'The '\n    start_ms: 102080\n  - text: 'taquitos '\n    start_ms: 102200\n  - text: 'here '\n    start_ms: 102780\n  - text: 'are '\n    start_ms: 102920\n  - text: 'very '\n    start_ms: 103040\n  - text: nice\n    start_ms: 103300\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103950\n  end_ms: 106610\n  words:\n  - text: 'Now '\n    start_ms: 103950\n  - text: 'I''m '\n    start_ms: 104110\n  - text: 'down '\n    start_ms: 104210\n  - text: 'on '\n    start_ms: 104390\n  - text: 'my '\n    start_ms: 104510\n  - text: 'knees, '\n    start_ms: 104650\n  - text: 'we '\n    start_ms: 104970\n  - text: 'need '\n    start_ms: 105070\n  - text: 'some '\n    start_ms: 105210\n  - text: 'extra '\n    start_ms: 105390\n  - text: 'tomatoes '\n    start_ms: 105630\n  - text: 'and '\n    start_ms: 106130\n  - text: cheese\n    start_ms: 106310\n- text: And could you make that separate checks, please?\n  start_ms: 106830\n  end_ms: 108570\n  words:\n  - text: 'And '\n    start_ms: 106830\n  - text: 'could '\n    start_ms: 106930\n  - text: 'you '\n    start_ms: 107090\n  - text: 'make '\n    start_ms: 107170\n  - text: 'that '\n    start_ms: 107330\n  - text: 'separate '\n    start_ms: 107470\n  - text: 'checks, '\n    start_ms: 107770\n  - text: please?\n    start_ms: 108050\n- text: Taco\n  start_ms: 112130\n  end_ms: 112630\n  words:\n  - text: Taco\n    start_ms: 112130\n- text: Grande\n  start_ms: 116780\n  end_ms: 117800\n  words:\n  - text: Grande\n    start_ms: 116780\n- text: Taco\n  start_ms: 121150\n  end_ms: 121690\n  words:\n  - text: Taco\n    start_ms: 121150\n- text: Grande\n  start_ms: 125450\n  end_ms: 126290\n  words:\n  - text: Grande\n    start_ms: 125450\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127070\n  end_ms: 130410\n  words:\n  - text: '\"Buenos '\n    start_ms: 127090\n  - text: 'noches, '\n    start_ms: 127350\n  - text: 'señor. '\n    start_ms: 127650\n  - text: 'bienvenido '\n    start_ms: 128190\n  - text: 'a '\n    start_ms: 128770\n  - text: 'Enrico''s '\n    start_ms: 128890\n  - text: 'Casa '\n    start_ms: 129629\n  - text: 'de '\n    start_ms: 129870\n  - text: Salsa\n    start_ms: 130009\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130520\n  end_ms: 132240\n  words:\n  - text: 'Tenemos '\n    start_ms: 130520\n  - text: 'muchos '\n    start_ms: 130839\n  - text: 'platos '\n    start_ms: 131160\n  - text: 'muy '\n    start_ms: 131559\n  - text: sabrosos\n    start_ms: 131779\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132710\n  end_ms: 136551\n  words:\n  - text: 'Si '\n    start_ms: 132710\n  - text: 'puedo '\n    start_ms: 132831\n  - text: 'recomendar '\n    start_ms: 133031\n  - text: 'el '\n    start_ms: 133611\n  - text: 'ardiente '\n    start_ms: 133771\n  - text: 'pollo '\n    start_ms: 134331\n  - text: 'al '\n    start_ms: 134651\n  - text: 'infierno '\n    start_ms: 134791\n  - text: 'muy '\n    start_ms: 135411\n  - text: delicioso\n    start_ms: 135751\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136920\n  end_ms: 139560\n  words:\n  - text: 'Sus '\n    start_ms: 136920\n  - text: 'ojos '\n    start_ms: 137100\n  - text: 'se '\n    start_ms: 137340\n  - text: 'quemarán, '\n    start_ms: 137440\n  - text: 'su '\n    start_ms: 138200\n  - text: 'estomago '\n    start_ms: 138280\n  - text: 'estará '\n    start_ms: 138740\n  - text: 'en '\n    start_ms: 139080\n  - text: fuego\n    start_ms: 139300\n- text: Se quedarán en el baño por una semana\n  start_ms: 139740\n  end_ms: 141580\n  words:\n  - text: 'Se '\n    start_ms: 139740\n  - text: 'quedarán '\n    start_ms: 139860\n  - text: 'en '\n    start_ms: 140260\n  - text: 'el '\n    start_ms: 140360\n  - text: 'baño '\n    start_ms: 140500\n  - text: 'por '\n    start_ms: 140780\n  - text: 'una '\n    start_ms: 140960\n  - text: semana\n    start_ms: 141160\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141960\n  end_ms: 144520\n  words:\n  - text: 'Entiendes '\n    start_ms: 141960\n  - text: 'lo '\n    start_ms: 142380\n  - text: 'que '\n    start_ms: 142500\n  - text: 'digo '\n    start_ms: 142700\n  - text: 'gringo '\n    start_ms: 143120\n  - text: 'estúpido '\n    start_ms: 143460\n  - text: tonto?\"\n    start_ms: 144020\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144820\n  end_ms: 146900\n  words:\n  - text: 'Well, '\n    start_ms: 144820\n  - text: 'the '\n    start_ms: 144960\n  - text: 'food '\n    start_ms: 145080\n  - text: 'is '\n    start_ms: 145300\n  - text: 'coming, '\n    start_ms: 145500\n  - text: 'I '\n    start_ms: 145960\n  - text: 'can '\n    start_ms: 146020\n  - text: 'hardly '\n    start_ms: 146160\n  - text: wait\n    start_ms: 146600\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147420\n  end_ms: 148920\n  words:\n  - text: 'Now '\n    start_ms: 147420\n  - text: 'watch '\n    start_ms: 147540\n  - text: 'your '\n    start_ms: 147720\n  - text: 'fingers, '\n    start_ms: 147820\n  - text: 'careful '\n    start_ms: 148120\n  - text: 'hot '\n    start_ms: 148400\n  - text: plate!\n    start_ms: 148620\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149230\n  end_ms: 151670\n  words:\n  - text: 'What '\n    start_ms: 149230\n  - text: 'you '\n    start_ms: 149410\n  - text: 'think '\n    start_ms: 149510\n  - text: 'you''re '\n    start_ms: 149690\n  - text: 'doing '\n    start_ms: 149990\n  - text: 'with '\n    start_ms: 150350\n  - text: 'my '\n    start_ms: 150470\n  - text: 'chile '\n    start_ms: 150610\n  - text: 'con '\n    start_ms: 150890\n  - text: queso?\n    start_ms: 151170\n- text: Well, if you want some, just say so\n  start_ms: 151920\n  end_ms: 153340\n  words:\n  - text: 'Well, '\n    start_ms: 151920\n  - text: 'if '\n    start_ms: 152100\n  - text: 'you '\n    start_ms: 152220\n  - text: 'want '\n    start_ms: 152320\n  - text: 'some, '\n    start_ms: 152480\n  - text: 'just '\n    start_ms: 152640\n  - text: 'say '\n    start_ms: 152880\n  - text: so\n    start_ms: 153180\n- text: Oh boy, pico de gallo\n  start_ms: 154070\n  end_ms: 156070\n  words:\n  - text: 'Oh '\n    start_ms: 154070\n  - text: 'boy, '\n    start_ms: 154430\n  - text: 'pico '\n    start_ms: 155290\n  - text: 'de '\n    start_ms: 155590\n  - text: gallo\n    start_ms: 155710\n- text: They sure don't make it like this in Ohio\n  start_ms: 156620\n  end_ms: 158530\n  words:\n  - text: 'They '\n    start_ms: 156620\n  - text: 'sure '\n    start_ms: 156718\n  - text: 'don''t '\n    start_ms: 156876\n  - text: 'make '\n    start_ms: 157053\n  - text: 'it '\n    start_ms: 157230\n  - text: 'like '\n    start_ms: 157309\n  - text: 'this '\n    start_ms: 157506\n  - text: 'in '\n    start_ms: 157782\n  - text: Ohio\n    start_ms: 157939\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158530\n  end_ms: 160910\n  words:\n  - text: 'No '\n    start_ms: 158530\n  - text: 'gracias, '\n    start_ms: 158690\n  - text: 'yo '\n    start_ms: 159250\n  - text: 'quiero '\n    start_ms: 159370\n  - text: 'jalepeños, '\n    start_ms: 159670\n  - text: 'nada '\n    start_ms: 160430\n  - text: más\n    start_ms: 160690\n- text: You can toss away the hot sauce\n  start_ms: 161030\n  end_ms: 162490\n  words:\n  - text: 'You '\n    start_ms: 161030\n  - text: 'can '\n    start_ms: 161130\n  - text: 'toss '\n    start_ms: 161290\n  - text: 'away '\n    start_ms: 161630\n  - text: 'the '\n    start_ms: 161850\n  - text: 'hot '\n    start_ms: 161950\n  - text: sauce\n    start_ms: 162230\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162980\n  end_ms: 165350\n  words:\n  - text: '¿Dónde '\n    start_ms: 163039\n  - text: 'están '\n    start_ms: 163313\n  - text: 'los '\n    start_ms: 163607\n  - text: 'nachos? '\n    start_ms: 163881\n  - text: 'Holy '\n    start_ms: 164645\n  - text: frijole!\n    start_ms: 164919\n- text: You better get me a bowl of guacamole\n  start_ms: 165350\n  end_ms: 167090\n  words:\n  - text: 'You '\n    start_ms: 165350\n  - text: 'better '\n    start_ms: 165470\n  - text: 'get '\n    start_ms: 165770\n  - text: 'me '\n    start_ms: 165930\n  - text: 'a '\n    start_ms: 166210\n  - text: 'bowl '\n    start_ms: 166310\n  - text: 'of '\n    start_ms: 166510\n  - text: guacamole\n    start_ms: 166590\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167390\n  end_ms: 169630\n  words:\n  - text: '¿Y '\n    start_ms: 167490\n  - text: 'usted, '\n    start_ms: 167570\n  - text: 'Eugene? '\n    start_ms: 167970\n  - text: 'Why''s '\n    start_ms: 168490\n  - text: 'your '\n    start_ms: 168670\n  - text: 'face '\n    start_ms: 168790\n  - text: 'turning '\n    start_ms: 168990\n  - text: green?\n    start_ms: 169250\n- text: Don't you like pinto bean?\n  start_ms: 170040\n  end_ms: 171440\n  words:\n  - text: 'Don''t '\n    start_ms: 170040\n  - text: 'you '\n    start_ms: 170220\n  - text: 'like '\n    start_ms: 170400\n  - text: 'pinto '\n    start_ms: 170780\n  - text: bean?\n    start_ms: 171080\n- text: You want some more cinnamon crispas?\n  start_ms: 171890\n  end_ms: 174390\n  words:\n  - text: 'You '\n    start_ms: 171890\n  - text: 'want '\n    start_ms: 172150\n  - text: 'some '\n    start_ms: 172450\n  - text: 'more '\n    start_ms: 172650\n  - text: 'cinnamon '\n    start_ms: 173410\n  - text: crispas?\n    start_ms: 173810\n- text: If you don't, hasta la vista\n  start_ms: 174670\n  end_ms: 175830\n  words:\n  - text: 'If '\n    start_ms: 174670\n  - text: 'you '\n    start_ms: 174790\n  - text: 'don''t, '\n    start_ms: 174930\n  - text: 'hasta '\n    start_ms: 175190\n  - text: 'la '\n    start_ms: 175470\n  - text: vista\n    start_ms: 175590\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176080\n  end_ms: 179300\n  words:\n  - text: 'Just '\n    start_ms: 176080\n  - text: 'take '\n    start_ms: 176320\n  - text: 'the '\n    start_ms: 176560\n  - text: 'rest '\n    start_ms: 176860\n  - text: 'home '\n    start_ms: 177140\n  - text: 'in '\n    start_ms: 177500\n  - text: 'a '\n    start_ms: 177660\n  - text: 'doggie '\n    start_ms: 177860\n  - text: 'bag '\n    start_ms: 178420\n  - text: 'if '\n    start_ms: 178720\n  - text: 'you '\n    start_ms: 178860\n  - text: wanna\n    start_ms: 179020\n- text: You can finish it mañana\n  start_ms: 179380\n  end_ms: 180560\n  words:\n  - text: 'You '\n    start_ms: 179380\n  - text: 'can '\n    start_ms: 179500\n  - text: 'finish '\n    start_ms: 179660\n  - text: 'it '\n    start_ms: 179940\n  - text: mañana\n    start_ms: 180060\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180800\n  end_ms: 183100\n  words:\n  - text: 'Well, '\n    start_ms: 180800\n  - text: 'it''s '\n    start_ms: 180980\n  - text: 'been '\n    start_ms: 181200\n  - text: 'a '\n    start_ms: 181420\n  - text: 'pleasure, '\n    start_ms: 181580\n  - text: 'I '\n    start_ms: 182060\n  - text: 'can''t '\n    start_ms: 182160\n  - text: 'eat '\n    start_ms: 182340\n  - text: 'no '\n    start_ms: 182560\n  - text: more\n    start_ms: 182760\n- text: Señor, la cuenta, por favor\n  start_ms: 183430\n  end_ms: 184610\n  words:\n  - text: 'Señor, '\n    start_ms: 183430\n  - text: 'la '\n    start_ms: 183710\n  - text: 'cuenta, '\n    start_ms: 183830\n  - text: 'por '\n    start_ms: 184130\n  - text: favor\n    start_ms: 184290\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185170\n  end_ms: 188360\n  words:\n  - text: 'If '\n    start_ms: 185170\n  - text: 'you '\n    start_ms: 185405\n  - text: 'ain''t '\n    start_ms: 185640\n  - text: 'tried '\n    start_ms: 186286\n  - text: 'real '\n    start_ms: 186638\n  - text: 'Mexican '\n    start_ms: 186892\n  - text: 'cooking, '\n    start_ms: 187440\n  - text: 'well, '\n    start_ms: 187812\n  - text: 'you '\n    start_ms: 187988\n  - text: oughta\n    start_ms: 188145\n- text: Just don't drink the water\n  start_ms: 188360\n  end_ms: 189420\n  words:\n  - text: 'Just '\n    start_ms: 188360\n  - text: 'don''t '\n    start_ms: 188600\n  - text: 'drink '\n    start_ms: 188740\n  - text: 'the '\n    start_ms: 188920\n  - text: water\n    start_ms: 189040\n- text: Taco\n  start_ms: 193560\n  end_ms: 197800\n  words:\n  - text: Taco\n    start_ms: 193560\n- text: Grande\n  start_ms: 198210\n  end_ms: 198770\n  words:\n  - text: Grande\n    start_ms: 198210\n- text: Taco\n  start_ms: 202640\n  end_ms: 206840\n  words:\n  - text: Taco\n    start_ms: 202640\n- text: Grande\n  start_ms: 207320\n  end_ms: 208120\n  words:\n  - text: Grande\n    start_ms: 207320\n- text: Taco\n  start_ms: 211670\n  end_ms: 211690\n  words:\n  - text: Taco\n    start_ms: 211670\n- text: Grande\n  start_ms: 216310\n  end_ms: 216430\n  words:\n  - text: Grande\n    start_ms: 216310\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":1641735,"name":"Taco Grande","trackName":"Taco Grande","artistName":"“Weird Al” Yankovic","albumName":"Permanent Record: Al in the Box","duration":228.0,"instrumental":false,"hasWordSync":true,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.24]Taco\n[00:16.50]Grande\n[00:21.19]Taco\n[00:25.42]Grande\n[00:26.98]Yo quiero chimichangas y chile colorado\n[00:29.25]Yo tengo el dinero para un steak picado\n[00:31.52]Las flautas y tamales, siempre muy bueno\n[00:33.91]Y el chile relleno\n[00:35.52]You see, I just gotta have a tostada, carne asada\n[00:38.69]That's right, I want the whole enchilada\n[00:40.57]My only addiction has to do with a flour tortilla\n[00:43.45]I need a quesadilla\n[00:44.74]I love to stuff my face with tacos al carbón\n[00:47.51]With my friends, or when I'm all alone\n[00:49.45]Yo tengo mucho hambre y ahora lo quiero\n[00:51.90]Un burrito ranchero\n[00:54.18]So give me something spicy and hot, now\n[00:56.76]Break out the menu, what you got, now?\n[00:58.78]Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:01.34]You better make sure the beans are refried\n[01:06.88]Taco\n[01:11.02]Grande\n[01:15.85]Taco\n[01:20.37]Grande\n[01:21.21]Well, there's not a taco big enough for a man like me\n[01:23.95]That's why I order two or three\n[01:25.75]Let me give you a tip, just try a nacho chip\n[01:28.53]It's really good with bean dip\n[01:30.28]I eat uno, dos, tres, cuatro burritos\n[01:32.94]Pretty soon I can't fit in my Speedos\n[01:34.79]Well, I hope they feed us lots of chicken fajitas\n[01:37.52]And a pitcher of margaritas\n[01:39.24]Well, the combination plates all come with beans and rice\n[01:42.08]The taquitos here are very nice\n[01:43.95]Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:46.83]And could you make that separate checks, please?\n[01:52.13]Taco\n[01:56.78]Grande\n[02:01.15]Taco\n[02:05.45]Grande\n[02:07.07]\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:10.52]Tenemos muchos platos muy sabrosos\n[02:12.71]Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:16.92]Sus ojos se quemarán, su estomago estará en fuego\n[02:19.74]Se quedarán en el baño por una semana\n[02:21.96]Entiendes lo que digo gringo estúpido tonto?\"\n[02:24.82]Well, the food is coming, I can hardly wait\n[02:27.42]Now watch your fingers, careful hot plate!\n[02:29.23]What you think you're doing with my chile con queso?\n[02:31.92]Well, if you want some, just say so\n[02:34.07]Oh boy, pico de gallo\n[02:36.62]They sure don't make it like this in Ohio\n[02:38.53]No gracias, yo quiero jalepeños, nada más\n[02:41.03]You can toss away the hot sauce\n[02:42.98]¿Dónde están los nachos? Holy frijole!\n[02:45.35]You better get me a bowl of guacamole\n[02:47.39]¿Y usted, Eugene? Why's your face turning green?\n[02:50.04]Don't you like pinto bean?\n[02:51.89]You want some more cinnamon crispas?\n[02:54.67]If you don't, hasta la vista\n[02:56.08]Just take the rest home in a doggie bag if you wanna\n[02:59.38]You can finish it mañana\n[03:00.80]Well, it's been a pleasure, I can't eat no more\n[03:03.43]Señor, la cuenta, por favor\n[03:05.17]If you ain't tried real Mexican cooking, well, you oughta\n[03:08.36]Just don't drink the water\n[03:13.56]Taco\n[03:18.21]Grande\n[03:22.64]Taco\n[03:27.32]Grande\n[03:31.67]Taco\n[03:36.31]Grande","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: “Weird Al” Yankovic\n  album: 'Permanent Record: Al in the Box'\n  duration_ms: 228000\n  instrumental: false\n  language: en\nlines:\n- text: Taco\n  start_ms: 12240\n  end_ms: 12720\n  words:\n  - text: Taco\n    start_ms: 12240\n- text: Grande\n  start_ms: 16500\n  end_ms: 16500\n  words:\n  - text: Grande\n    start_ms: 16500\n- text: Taco\n  start_ms: 21190\n  end_ms: 21250\n  words:\n  - text: Taco\n    start_ms: 21190\n- text: Grande\n  start_ms: 25420\n  end_ms: 26380\n  words:\n  - text: Grande\n    start_ms: 25420\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26980\n  end_ms: 29060\n  words:\n  - text: 'Yo '\n    start_ms: 26980\n  - text: 'quiero '\n    start_ms: 27100\n  - text: 'chimichangas '\n    start_ms: 27380\n  - text: 'y '\n    start_ms: 28140\n  - text: 'chile '\n    start_ms: 28220\n  - text: colorado\n    start_ms: 28540\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29250\n  end_ms: 31310\n  words:\n  - text: 'Yo '\n    start_ms: 29250\n  - text: 'tengo '\n    start_ms: 29370\n  - text: 'el '\n    start_ms: 29710\n  - text: 'dinero '\n    start_ms: 29830\n  - text: 'para '\n    start_ms: 30330\n  - text: 'un '\n    start_ms: 30570\n  - text: 'steak '\n    start_ms: 30690\n  - text: picado\n    start_ms: 30910\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31520\n  end_ms: 33720\n  words:\n  - text: 'Las '\n    start_ms: 31520\n  - text: 'flautas '\n    start_ms: 31660\n  - text: 'y '\n    start_ms: 32000\n  - text: 'tamales, '\n    start_ms: 32120\n  - text: 'siempre '\n    start_ms: 32659\n  - text: 'muy '\n    start_ms: 33100\n  - text: bueno\n    start_ms: 33320\n- text: Y el chile relleno\n  start_ms: 33910\n  end_ms: 35210\n  words:\n  - text: 'Y '\n    start_ms: 33910\n  - text: 'el '\n    start_ms: 34010\n  - text: 'chile '\n    start_ms: 34130\n  - text: relleno\n    start_ms: 34590\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35520\n  end_ms: 38400\n  words:\n  - text: 'You '\n    start_ms: 35520\n  - text: 'see, '\n    start_ms: 35620\n  - text: 'I '\n    start_ms: 35980\n  - text: 'just '\n    start_ms: 36120\n  - text: 'gotta '\n    start_ms: 36360\n  - text: 'have '\n    start_ms: 36760\n  - text: 'a '\n    start_ms: 36920\n  - text: 'tostada, '\n    start_ms: 37020\n  - text: 'carne '\n    start_ms: 37560\n  - text: asada\n    start_ms: 37940\n- text: That's right, I want the whole enchilada\n  start_ms: 38690\n  end_ms: 40230\n  words:\n  - text: 'That''s '\n    start_ms: 38690\n  - text: 'right, '\n    start_ms: 38890\n  - text: 'I '\n    start_ms: 39070\n  - text: 'want '\n    start_ms: 39130\n  - text: 'the '\n    start_ms: 39290\n  - text: 'whole '\n    start_ms: 39390\n  - text: enchilada\n    start_ms: 39610\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40570\n  end_ms: 43190\n  words:\n  - text: 'My '\n    start_ms: 40570\n  - text: 'only '\n    start_ms: 40750\n  - text: 'addiction '\n    start_ms: 41030\n  - text: 'has '\n    start_ms: 41530\n  - text: 'to '\n    start_ms: 41690\n  - text: 'do '\n    start_ms: 41830\n  - text: 'with '\n    start_ms: 41970\n  - text: 'a '\n    start_ms: 42070\n  - text: 'flour '\n    start_ms: 42190\n  - text: tortilla\n    start_ms: 42510\n- text: I need a quesadilla\n  start_ms: 43450\n  end_ms: 44550\n  words:\n  - text: 'I '\n    start_ms: 43450\n  - text: 'need '\n    start_ms: 43530\n  - text: 'a '\n    start_ms: 43710\n  - text: quesadilla\n    start_ms: 43810\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44740\n  end_ms: 47040\n  words:\n  - text: 'I '\n    start_ms: 44740\n  - text: 'love '\n    start_ms: 44800\n  - text: 'to '\n    start_ms: 44960\n  - text: 'stuff '\n    start_ms: 45080\n  - text: 'my '\n    start_ms: 45300\n  - text: 'face '\n    start_ms: 45540\n  - text: 'with '\n    start_ms: 45820\n  - text: 'tacos '\n    start_ms: 45960\n  - text: 'al '\n    start_ms: 46280\n  - text: carbón\n    start_ms: 46420\n- text: With my friends, or when I'm all alone\n  start_ms: 47510\n  end_ms: 49010\n  words:\n  - text: 'With '\n    start_ms: 47510\n  - text: 'my '\n    start_ms: 47630\n  - text: 'friends, '\n    start_ms: 47790\n  - text: 'or '\n    start_ms: 48110\n  - text: 'when '\n    start_ms: 48210\n  - text: 'I''m '\n    start_ms: 48390\n  - text: 'all '\n    start_ms: 48530\n  - text: alone\n    start_ms: 48670\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49450\n  end_ms: 51900\n  words:\n  - text: 'Yo '\n    start_ms: 49450\n  - text: 'tengo '\n    start_ms: 49567\n  - text: 'mucho '\n    start_ms: 49839\n  - text: 'hambre '\n    start_ms: 50306\n  - text: 'y '\n    start_ms: 50714\n  - text: 'ahora '\n    start_ms: 50831\n  - text: 'lo '\n    start_ms: 51161\n  - text: quiero\n    start_ms: 51453\n- text: Un burrito ranchero\n  start_ms: 51900\n  end_ms: 53300\n  words:\n  - text: 'Un '\n    start_ms: 51900\n  - text: 'burrito '\n    start_ms: 52020\n  - text: ranchero\n    start_ms: 52560\n- text: So give me something spicy and hot, now\n  start_ms: 54180\n  end_ms: 56680\n  words:\n  - text: 'So '\n    start_ms: 54180\n  - text: 'give '\n    start_ms: 54480\n  - text: 'me '\n    start_ms: 54760\n  - text: 'something '\n    start_ms: 55000\n  - text: 'spicy '\n    start_ms: 55440\n  - text: 'and '\n    start_ms: 55920\n  - text: 'hot, '\n    start_ms: 56120\n  - text: now\n    start_ms: 56420\n- text: Break out the menu, what you got, now?\n  start_ms: 56760\n  end_ms: 58280\n  words:\n  - text: 'Break '\n    start_ms: 56760\n  - text: 'out '\n    start_ms: 56960\n  - text: 'the '\n    start_ms: 57080\n  - text: 'menu, '\n    start_ms: 57200\n  - text: 'what '\n    start_ms: 57480\n  - text: 'you '\n    start_ms: 57660\n  - text: 'got, '\n    start_ms: 57780\n  - text: now?\n    start_ms: 58060\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 58780\n  end_ms: 61340\n  words:\n  - text: 'Oh, '\n    start_ms: 58780\n  - text: 'would '\n    start_ms: 58891\n  - text: 'you '\n    start_ms: 59040\n  - text: 'tell '\n    start_ms: 59151\n  - text: 'the '\n    start_ms: 59299\n  - text: 'waiter '\n    start_ms: 59411\n  - text: 'I''d '\n    start_ms: 59745\n  - text: 'like '\n    start_ms: 59893\n  - text: 'to '\n    start_ms: 60023\n  - text: 'have '\n    start_ms: 60171\n  - text: 'sour '\n    start_ms: 60338\n  - text: 'cream '\n    start_ms: 60579\n  - text: 'on '\n    start_ms: 60858\n  - text: 'the '\n    start_ms: 60932\n  - text: side\n    start_ms: 61080\n- text: You better make sure the beans are refried\n  start_ms: 61340\n  end_ms: 62840\n  words:\n  - text: 'You '\n    start_ms: 61340\n  - text: 'better '\n    start_ms: 61420\n  - text: 'make '\n    start_ms: 61560\n  - text: 'sure '\n    start_ms: 61700\n  - text: 'the '\n    start_ms: 61880\n  - text: 'beans '\n    start_ms: 61980\n  - text: 'are '\n    start_ms: 62200\n  - text: refried\n    start_ms: 62320\n- text: Taco\n  start_ms: 66880\n  end_ms: 67380\n  words:\n  - text: Taco\n    start_ms: 66880\n- text: Grande\n  start_ms: 71020\n  end_ms: 71860\n  words:\n  - text: Grande\n    start_ms: 71020\n- text: Taco\n  start_ms: 75850\n  end_ms: 76390\n  words:\n  - text: Taco\n    start_ms: 75850\n- text: Grande\n  start_ms: 80370\n  end_ms: 80370\n  words:\n  - text: Grande\n    start_ms: 80370\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81210\n  end_ms: 83930\n  words:\n  - text: 'Well, '\n    start_ms: 81210\n  - text: 'there''s '\n    start_ms: 81330\n  - text: 'not '\n    start_ms: 81630\n  - text: 'a '\n    start_ms: 81890\n  - text: 'taco '\n    start_ms: 82050\n  - text: 'big '\n    start_ms: 82470\n  - text: 'enough '\n    start_ms: 82670\n  - text: 'for '\n    start_ms: 82890\n  - text: 'a '\n    start_ms: 83070\n  - text: 'man '\n    start_ms: 83210\n  - text: 'like '\n    start_ms: 83470\n  - text: me\n    start_ms: 83750\n- text: That's why I order two or three\n  start_ms: 83950\n  end_ms: 85390\n  words:\n  - text: 'That''s '\n    start_ms: 83950\n  - text: 'why '\n    start_ms: 84130\n  - text: 'I '\n    start_ms: 84310\n  - text: 'order '\n    start_ms: 84430\n  - text: 'two '\n    start_ms: 84690\n  - text: 'or '\n    start_ms: 84910\n  - text: three\n    start_ms: 85070\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 85750\n  end_ms: 88030\n  words:\n  - text: 'Let '\n    start_ms: 85750\n  - text: 'me '\n    start_ms: 85910\n  - text: 'give '\n    start_ms: 86050\n  - text: 'you '\n    start_ms: 86270\n  - text: 'a '\n    start_ms: 86410\n  - text: 'tip, '\n    start_ms: 86530\n  - text: 'just '\n    start_ms: 86790\n  - text: 'try '\n    start_ms: 86910\n  - text: 'a '\n    start_ms: 87110\n  - text: 'nacho '\n    start_ms: 87210\n  - text: chip\n    start_ms: 87710\n- text: It's really good with bean dip\n  start_ms: 88530\n  end_ms: 89750\n  words:\n  - text: 'It''s '\n    start_ms: 88530\n  - text: 'really '\n    start_ms: 88670\n  - text: 'good '\n    start_ms: 88930\n  - text: 'with '\n    start_ms: 89070\n  - text: 'bean '\n    start_ms: 89210\n  - text: dip\n    start_ms: 89490\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90280\n  end_ms: 92820\n  words:\n  - text: 'I '\n    start_ms: 90280\n  - text: 'eat '\n    start_ms: 90400\n  - text: 'uno, '\n    start_ms: 90740\n  - text: 'dos, '\n    start_ms: 91120\n  - text: 'tres, '\n    start_ms: 91460\n  - text: 'cuatro '\n    start_ms: 91860\n  - text: burritos\n    start_ms: 92160\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92940\n  end_ms: 94700\n  words:\n  - text: 'Pretty '\n    start_ms: 92940\n  - text: 'soon '\n    start_ms: 93240\n  - text: 'I '\n    start_ms: 93640\n  - text: 'can''t '\n    start_ms: 93780\n  - text: 'fit '\n    start_ms: 94060\n  - text: 'in '\n    start_ms: 94220\n  - text: 'my '\n    start_ms: 94300\n  - text: Speedos\n    start_ms: 94440\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 94790\n  end_ms: 97170\n  words:\n  - text: 'Well, '\n    start_ms: 94790\n  - text: 'I '\n    start_ms: 94970\n  - text: 'hope '\n    start_ms: 95050\n  - text: 'they '\n    start_ms: 95310\n  - text: 'feed '\n    start_ms: 95510\n  - text: 'us '\n    start_ms: 95770\n  - text: 'lots '\n    start_ms: 95870\n  - text: 'of '\n    start_ms: 96050\n  - text: 'chicken '\n    start_ms: 96150\n  - text: fajitas\n    start_ms: 96450\n- text: And a pitcher of margaritas\n  start_ms: 97520\n  end_ms: 99120\n  words:\n  - text: 'And '\n    start_ms: 97520\n  - text: 'a '\n    start_ms: 97700\n  - text: 'pitcher '\n    start_ms: 97820\n  - text: 'of '\n    start_ms: 98200\n  - text: margaritas\n    start_ms: 98240\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 99240\n  end_ms: 101860\n  words:\n  - text: 'Well, '\n    start_ms: 99240\n  - text: 'the '\n    start_ms: 99380\n  - text: 'combination '\n    start_ms: 99520\n  - text: 'plates '\n    start_ms: 100460\n  - text: 'all '\n    start_ms: 100780\n  - text: 'come '\n    start_ms: 100900\n  - text: 'with '\n    start_ms: 101040\n  - text: 'beans '\n    start_ms: 101200\n  - text: 'and '\n    start_ms: 101440\n  - text: rice\n    start_ms: 101620\n- text: The taquitos here are very nice\n  start_ms: 102080\n  end_ms: 103640\n  words:\n  - text: 'The '\n    start_ms: 102080\n  - text: 'taquitos '\n    start_ms: 102200\n  - text: 'here '\n    start_ms: 102780\n  - text: 'are '\n    start_ms: 102920\n  - text: 'very '\n    start_ms: 103040\n  - text: nice\n    start_ms: 103300\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103950\n  end_ms: 106610\n  words:\n  - text: 'Now '\n    start_ms: 103950\n  - text: 'I''m '\n    start_ms: 104110\n  - text: 'down '\n    start_ms: 104210\n  - text: 'on '\n    start_ms: 104390\n  - text: 'my '\n    start_ms: 104510\n  - text: 'knees, '\n    start_ms: 104650\n  - text: 'we '\n    start_ms: 104970\n  - text: 'need '\n    start_ms: 105070\n  - text: 'some '\n    start_ms: 105210\n  - text: 'extra '\n    start_ms: 105390\n  - text: 'tomatoes '\n    start_ms: 105630\n  - text: 'and '\n    start_ms: 106130\n  - text: cheese\n    start_ms: 106310\n- text: And could you make that separate checks, please?\n  start_ms: 106830\n  end_ms: 108570\n  words:\n  - text: 'And '\n    start_ms: 106830\n  - text: 'could '\n    start_ms: 106930\n  - text: 'you '\n    start_ms: 107090\n  - text: 'make '\n    start_ms: 107170\n  - text: 'that '\n    start_ms: 107330\n  - text: 'separate '\n    start_ms: 107470\n  - text: 'checks, '\n    start_ms: 107770\n  - text: please?\n    start_ms: 108050\n- text: Taco\n  start_ms: 112130\n  end_ms: 112630\n  words:\n  - text: Taco\n    start_ms: 112130\n- text: Grande\n  start_ms: 116780\n  end_ms: 117800\n  words:\n  - text: Grande\n    start_ms: 116780\n- text: Taco\n  start_ms: 121150\n  end_ms: 121690\n  words:\n  - text: Taco\n    start_ms: 121150\n- text: Grande\n  start_ms: 125450\n  end_ms: 126290\n  words:\n  - text: Grande\n    start_ms: 125450\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127070\n  end_ms: 130410\n  words:\n  - text: '\"Buenos '\n    start_ms: 127090\n  - text: 'noches, '\n    start_ms: 127350\n  - text: 'señor. '\n    start_ms: 127650\n  - text: 'bienvenido '\n    start_ms: 128190\n  - text: 'a '\n    start_ms: 128770\n  - text: 'Enrico''s '\n    start_ms: 128890\n  - text: 'Casa '\n    start_ms: 129629\n  - text: 'de '\n    start_ms: 129870\n  - text: Salsa\n    start_ms: 130009\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130520\n  end_ms: 132240\n  words:\n  - text: 'Tenemos '\n    start_ms: 130520\n  - text: 'muchos '\n    start_ms: 130839\n  - text: 'platos '\n    start_ms: 131160\n  - text: 'muy '\n    start_ms: 131559\n  - text: sabrosos\n    start_ms: 131779\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132710\n  end_ms: 136551\n  words:\n  - text: 'Si '\n    start_ms: 132710\n  - text: 'puedo '\n    start_ms: 132831\n  - text: 'recomendar '\n    start_ms: 133031\n  - text: 'el '\n    start_ms: 133611\n  - text: 'ardiente '\n    start_ms: 133771\n  - text: 'pollo '\n    start_ms: 134331\n  - text: 'al '\n    start_ms: 134651\n  - text: 'infierno '\n    start_ms: 134791\n  - text: 'muy '\n    start_ms: 135411\n  - text: delicioso\n    start_ms: 135751\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136920\n  end_ms: 139560\n  words:\n  - text: 'Sus '\n    start_ms: 136920\n  - text: 'ojos '\n    start_ms: 137100\n  - text: 'se '\n    start_ms: 137340\n  - text: 'quemarán, '\n    start_ms: 137440\n  - text: 'su '\n    start_ms: 138200\n  - text: 'estomago '\n    start_ms: 138280\n  - text: 'estará '\n    start_ms: 138740\n  - text: 'en '\n    start_ms: 139080\n  - text: fuego\n    start_ms: 139300\n- text: Se quedarán en el baño por una semana\n  start_ms: 139740\n  end_ms: 141580\n  words:\n  - text: 'Se '\n    start_ms: 139740\n  - text: 'quedarán '\n    start_ms: 139860\n  - text: 'en '\n    start_ms: 140260\n  - text: 'el '\n    start_ms: 140360\n  - text: 'baño '\n    start_ms: 140500\n  - text: 'por '\n    start_ms: 140780\n  - text: 'una '\n    start_ms: 140960\n  - text: semana\n    start_ms: 141160\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141960\n  end_ms: 144520\n  words:\n  - text: 'Entiendes '\n    start_ms: 141960\n  - text: 'lo '\n    start_ms: 142380\n  - text: 'que '\n    start_ms: 142500\n  - text: 'digo '\n    start_ms: 142700\n  - text: 'gringo '\n    start_ms: 143120\n  - text: 'estúpido '\n    start_ms: 143460\n  - text: tonto?\"\n    start_ms: 144020\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144820\n  end_ms: 146900\n  words:\n  - text: 'Well, '\n    start_ms: 144820\n  - text: 'the '\n    start_ms: 144960\n  - text: 'food '\n    start_ms: 145080\n  - text: 'is '\n    start_ms: 145300\n  - text: 'coming, '\n    start_ms: 145500\n  - text: 'I '\n    start_ms: 145960\n  - text: 'can '\n    start_ms: 146020\n  - text: 'hardly '\n    start_ms: 146160\n  - text: wait\n    start_ms: 146600\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147420\n  end_ms: 148920\n  words:\n  - text: 'Now '\n    start_ms: 147420\n  - text: 'watch '\n    start_ms: 147540\n  - text: 'your '\n    start_ms: 147720\n  - text: 'fingers, '\n    start_ms: 147820\n  - text: 'careful '\n    start_ms: 148120\n  - text: 'hot '\n    start_ms: 148400\n  - text: plate!\n    start_ms: 148620\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149230\n  end_ms: 151670\n  words:\n  - text: 'What '\n    start_ms: 149230\n  - text: 'you '\n    start_ms: 149410\n  - text: 'think '\n    start_ms: 149510\n  - text: 'you''re '\n    start_ms: 149690\n  - text: 'doing '\n    start_ms: 149990\n  - text: 'with '\n    start_ms: 150350\n  - text: 'my '\n    start_ms: 150470\n  - text: 'chile '\n    start_ms: 150610\n  - text: 'con '\n    start_ms: 150890\n  - text: queso?\n    start_ms: 151170\n- text: Well, if you want some, just say so\n  start_ms: 151920\n  end_ms: 153340\n  words:\n  - text: 'Well, '\n    start_ms: 151920\n  - text: 'if '\n    start_ms: 152100\n  - text: 'you '\n    start_ms: 152220\n  - text: 'want '\n    start_ms: 152320\n  - text: 'some, '\n    start_ms: 152480\n  - text: 'just '\n    start_ms: 152640\n  - text: 'say '\n    start_ms: 152880\n  - text: so\n    start_ms: 153180\n- text: Oh boy, pico de gallo\n  start_ms: 154070\n  end_ms: 156070\n  words:\n  - text: 'Oh '\n    start_ms: 154070\n  - text: 'boy, '\n    start_ms: 154430\n  - text: 'pico '\n    start_ms: 155290\n  - text: 'de '\n    start_ms: 155590\n  - text: gallo\n    start_ms: 155710\n- text: They sure don't make it like this in Ohio\n  start_ms: 156620\n  end_ms: 158530\n  words:\n  - text: 'They '\n    start_ms: 156620\n  - text: 'sure '\n    start_ms: 156718\n  - text: 'don''t '\n    start_ms: 156876\n  - text: 'make '\n    start_ms: 157053\n  - text: 'it '\n    start_ms: 157230\n  - text: 'like '\n    start_ms: 157309\n  - text: 'this '\n    start_ms: 157506\n  - text: 'in '\n    start_ms: 157782\n  - text: Ohio\n    start_ms: 157939\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158530\n  end_ms: 160910\n  words:\n  - text: 'No '\n    start_ms: 158530\n  - text: 'gracias, '\n    start_ms: 158690\n  - text: 'yo '\n    start_ms: 159250\n  - text: 'quiero '\n    start_ms: 159370\n  - text: 'jalepeños, '\n    start_ms: 159670\n  - text: 'nada '\n    start_ms: 160430\n  - text: más\n    start_ms: 160690\n- text: You can toss away the hot sauce\n  start_ms: 161030\n  end_ms: 162490\n  words:\n  - text: 'You '\n    start_ms: 161030\n  - text: 'can '\n    start_ms: 161130\n  - text: 'toss '\n    start_ms: 161290\n  - text: 'away '\n    start_ms: 161630\n  - text: 'the '\n    start_ms: 161850\n  - text: 'hot '\n    start_ms: 161950\n  - text: sauce\n    start_ms: 162230\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162980\n  end_ms: 165350\n  words:\n  - text: '¿Dónde '\n    start_ms: 163039\n  - text: 'están '\n    start_ms: 163313\n  - text: 'los '\n    start_ms: 163607\n  - text: 'nachos? '\n    start_ms: 163881\n  - text: 'Holy '\n    start_ms: 164645\n  - text: frijole!\n    start_ms: 164919\n- text: You better get me a bowl of guacamole\n  start_ms: 165350\n  end_ms: 167090\n  words:\n  - text: 'You '\n    start_ms: 165350\n  - text: 'better '\n    start_ms: 165470\n  - text: 'get '\n    start_ms: 165770\n  - text: 'me '\n    start_ms: 165930\n  - text: 'a '\n    start_ms: 166210\n  - text: 'bowl '\n    start_ms: 166310\n  - text: 'of '\n    start_ms: 166510\n  - text: guacamole\n    start_ms: 166590\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167390\n  end_ms: 169630\n  words:\n  - text: '¿Y '\n    start_ms: 167490\n  - text: 'usted, '\n    start_ms: 167570\n  - text: 'Eugene? '\n    start_ms: 167970\n  - text: 'Why''s '\n    start_ms: 168490\n  - text: 'your '\n    start_ms: 168670\n  - text: 'face '\n    start_ms: 168790\n  - text: 'turning '\n    start_ms: 168990\n  - text: green?\n    start_ms: 169250\n- text: Don't you like pinto bean?\n  start_ms: 170040\n  end_ms: 171440\n  words:\n  - text: 'Don''t '\n    start_ms: 170040\n  - text: 'you '\n    start_ms: 170220\n  - text: 'like '\n    start_ms: 170400\n  - text: 'pinto '\n    start_ms: 170780\n  - text: bean?\n    start_ms: 171080\n- text: You want some more cinnamon crispas?\n  start_ms: 171890\n  end_ms: 174390\n  words:\n  - text: 'You '\n    start_ms: 171890\n  - text: 'want '\n    start_ms: 172150\n  - text: 'some '\n    start_ms: 172450\n  - text: 'more '\n    start_ms: 172650\n  - text: 'cinnamon '\n    start_ms: 173410\n  - text: crispas?\n    start_ms: 173810\n- text: If you don't, hasta la vista\n  start_ms: 174670\n  end_ms: 175830\n  words:\n  - text: 'If '\n    start_ms: 174670\n  - text: 'you '\n    start_ms: 174790\n  - text: 'don''t, '\n    start_ms: 174930\n  - text: 'hasta '\n    start_ms: 175190\n  - text: 'la '\n    start_ms: 175470\n  - text: vista\n    start_ms: 175590\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176080\n  end_ms: 179300\n  words:\n  - text: 'Just '\n    start_ms: 176080\n  - text: 'take '\n    start_ms: 176320\n  - text: 'the '\n    start_ms: 176560\n  - text: 'rest '\n    start_ms: 176860\n  - text: 'home '\n    start_ms: 177140\n  - text: 'in '\n    start_ms: 177500\n  - text: 'a '\n    start_ms: 177660\n  - text: 'doggie '\n    start_ms: 177860\n  - text: 'bag '\n    start_ms: 178420\n  - text: 'if '\n    start_ms: 178720\n  - text: 'you '\n    start_ms: 178860\n  - text: wanna\n    start_ms: 179020\n- text: You can finish it mañana\n  start_ms: 179380\n  end_ms: 180560\n  words:\n  - text: 'You '\n    start_ms: 179380\n  - text: 'can '\n    start_ms: 179500\n  - text: 'finish '\n    start_ms: 179660\n  - text: 'it '\n    start_ms: 179940\n  - text: mañana\n    start_ms: 180060\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180800\n  end_ms: 183100\n  words:\n  - text: 'Well, '\n    start_ms: 180800\n  - text: 'it''s '\n    start_ms: 180980\n  - text: 'been '\n    start_ms: 181200\n  - text: 'a '\n    start_ms: 181420\n  - text: 'pleasure, '\n    start_ms: 181580\n  - text: 'I '\n    start_ms: 182060\n  - text: 'can''t '\n    start_ms: 182160\n  - text: 'eat '\n    start_ms: 182340\n  - text: 'no '\n    start_ms: 182560\n  - text: more\n    start_ms: 182760\n- text: Señor, la cuenta, por favor\n  start_ms: 183430\n  end_ms: 184610\n  words:\n  - text: 'Señor, '\n    start_ms: 183430\n  - text: 'la '\n    start_ms: 183710\n  - text: 'cuenta, '\n    start_ms: 183830\n  - text: 'por '\n    start_ms: 184130\n  - text: favor\n    start_ms: 184290\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185170\n  end_ms: 188360\n  words:\n  - text: 'If '\n    start_ms: 185170\n  - text: 'you '\n    start_ms: 185405\n  - text: 'ain''t '\n    start_ms: 185640\n  - text: 'tried '\n    start_ms: 186286\n  - text: 'real '\n    start_ms: 186638\n  - text: 'Mexican '\n    start_ms: 186892\n  - text: 'cooking, '\n    start_ms: 187440\n  - text: 'well, '\n    start_ms: 187812\n  - text: 'you '\n    start_ms: 187988\n  - text: oughta\n    start_ms: 188145\n- text: Just don't drink the water\n  start_ms: 188360\n  end_ms: 189420\n  words:\n  - text: 'Just '\n    start_ms: 188360\n  - text: 'don''t '\n    start_ms: 188600\n  - text: 'drink '\n    start_ms: 188740\n  - text: 'the '\n    start_ms: 188920\n  - text: water\n    start_ms: 189040\n- text: Taco\n  start_ms: 193560\n  end_ms: 197800\n  words:\n  - text: Taco\n    start_ms: 193560\n- text: Grande\n  start_ms: 198210\n  end_ms: 198770\n  words:\n  - text: Grande\n    start_ms: 198210\n- text: Taco\n  start_ms: 202640\n  end_ms: 206840\n  words:\n  - text: Taco\n    start_ms: 202640\n- text: Grande\n  start_ms: 207320\n  end_ms: 208120\n  words:\n  - text: Grande\n    start_ms: 207320\n- text: Taco\n  start_ms: 211670\n  end_ms: 211690\n  words:\n  - text: Taco\n    start_ms: 211670\n- text: Grande\n  start_ms: 216310\n  end_ms: 216430\n  words:\n  - text: Grande\n    start_ms: 216310\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":24163954,"name":"Taco Grande","trackName":"Taco Grande","artistName":"″Weird Al″ Yankovic","albumName":"Permanent Record∶ Al in the Box","duration":226.933333,"instrumental":false,"hasWordSync":false,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos\nSi puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana\nEntiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":null,"lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: ″Weird Al″ Yankovic\n  album: Permanent Record∶ Al in the Box\n  duration_ms: 226933\n  instrumental: false\nlines: []\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos\n  Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana\n  Entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":22292137,"name":"Taco Grande","trackName":"Taco Grande","artistName":"“Weird Al” Yankovic","albumName":"Permanent Record: Al in the Box","duration":225.933061,"instrumental":false,"hasWordSync":false,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":null,"lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: “Weird Al” Yankovic\n  album: 'Permanent Record: Al in the Box'\n  duration_ms: 225933\n  instrumental: false\nlines: []\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":24440540,"name":"Taco Grande","trackName":"Taco Grande","artistName":"Weird Al Yankovic","albumName":"Permanent Record, Al In The Box","duration":224.108875,"instrumental":false,"hasWordSync":false,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:09.00] Taco\n[00:15.33] Grande\n[00:20.80] Taco\n[00:24.76] Grande\n[00:26.99] Yo quiero chimichangas y chile colorado\n[00:28.87] Yo tengo el dinero para un steak picado\n[00:31.29] Las flautas y tamales, siempre muy bueno\n[00:33.24] Y el chile relleno\n[00:35.20] You see, I just gotta have a tostada, carne asada\n[00:38.21] That's right, I want the whole enchilada\n[00:40.09] My only addiction has to do with a flour tortilla\n[00:42.81] I need a quesadilla\n[00:44.62] I love to stuff my face with tacos al carbón\n[00:46.70] With my friends, or when I'm all alone\n[00:49.43] Yo tengo mucho hambre y ahora lo quiero\n[00:51.45] Un burrito ranchero\n[00:53.40] So give me something spicy and hot, now\n[00:55.92] Break out the menu, what you got, now?\n[00:57.72] Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:00.75] You better make sure the beans are refried\n[01:02.52] Taco\n[01:08.36] Grande\n[01:11.60] Taco\n[01:17.69] Grande\n[01:20.15] Well, there's not a taco big enough for a man like me\n[01:23.08] That's why I order two or three\n[01:24.69] Let me give you a tip, just try a nacho chip\n[01:26.95] It's really good with bean dip\n[01:28.94] I eat uno, dos, tres, cuatro burritos\n[01:31.54] Pretty soon I can't fit in my Speedos\n[01:33.84] Well, I hope they feed us lots of chicken fajitas\n[01:36.24] And a pitcher of margaritas\n[01:38.08] Well, the combination plates all come with beans and rice\n[01:40.94] The taquitos here are very nice\n[01:42.51] Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:45.47] And could you make that separate checks, please?\n[01:48.32] Taco\n[01:53.62] Grande\n[01:57.94] Taco\n[02:02.56] Grande\n[02:05.47] \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:08.99] Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:14.98] Sus ojos se quemarán, su estomago estará en fuego\n[02:17.72] Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n[02:22.72] Well, the food is coming, I can hardly wait\n[02:24.99] Now watch your fingers, careful hot plate!\n[02:27.28] What you think you're doing with my chile con queso?\n[02:29.80] Well, if you want some, just say so\n[02:31.60] Oh boy, pico de gallo\n[02:34.16] They sure don't make it like this in Ohio\n[02:36.43] No gracias, yo quiero jalepeños, nada más\n[02:39.06] You can toss away the hot sauce\n[02:40.82] ¿Dónde están los nachos? Holy frijole!\n[02:42.95] You better get me a bowl of guacamole\n[02:45.25] ¿Y usted, Eugene? Why's your face turning green?\n[02:47.58] Don't you like pinto bean?\n[02:49.47] You want some more cinnamon crispas?\n[02:52.16] If you don't, hasta la vista\n[02:53.77] Just take the rest home in a doggie bag if you wanna\n[02:57.06] You can finish it mañana\n[02:58.52] Well, it's been a pleasure, I can't eat no more\n[03:00.81] Señor, la cuenta, por favor\n[03:02.85] If you ain't tried real Mexican cooking, well, you oughta\n[03:06.44] Just don't drink the water\n[03:10.08] Taco\n[03:14.85] Grande\n[03:19.09] Taco\n[03:23.22] Grande\n[03:27.98] Taco\n[03:32.83] Grande\n[03:37.08] ","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: Weird Al Yankovic\n  album: Permanent Record, Al In The Box\n  duration_ms: 224109\n  instrumental: false\nlines:\n- text: Taco\n  start_ms: 9000\n  end_ms: 15330\n- text: Grande\n  start_ms: 15330\n  end_ms: 20800\n- text: Taco\n  start_ms: 20800\n  end_ms: 24760\n- text: Grande\n  start_ms: 24760\n  end_ms: 26990\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26990\n  end_ms: 28870\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 28870\n  end_ms: 31290\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31290\n  end_ms: 33240\n- text: Y el chile relleno\n  start_ms: 33240\n  end_ms: 35200\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35200\n  end_ms: 38210\n- text: That's right, I want the whole enchilada\n  start_ms: 38210\n  end_ms: 40090\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40090\n  end_ms: 42810\n- text: I need a quesadilla\n  start_ms: 42810\n  end_ms: 44620\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44620\n  end_ms: 46700\n- text: With my friends, or when I'm all alone\n  start_ms: 46700\n  end_ms: 49430\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49430\n  end_ms: 51450\n- text: Un burrito ranchero\n  start_ms: 51450\n  end_ms: 53400\n- text: So give me something spicy and hot, now\n  start_ms: 53400\n  end_ms: 55920\n- text: Break out the menu, what you got, now?\n  start_ms: 55920\n  end_ms: 57720\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 57720\n  end_ms: 60750\n- text: You better make sure the beans are refried\n  start_ms: 60750\n  end_ms: 62520\n- text: Taco\n  start_ms: 62520\n  end_ms: 68360\n- text: Grande\n  start_ms: 68360\n  end_ms: 71600\n- text: Taco\n  start_ms: 71600\n  end_ms: 77690\n- text: Grande\n  start_ms: 77690\n  end_ms: 80150\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 80150\n  end_ms: 83080\n- text: That's why I order two or three\n  start_ms: 83080\n  end_ms: 84690\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 84690\n  end_ms: 86950\n- text: It's really good with bean dip\n  start_ms: 86950\n  end_ms: 88940\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 88940\n  end_ms: 91540\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 91540\n  end_ms: 93840\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 93840\n  end_ms: 96240\n- text: And a pitcher of margaritas\n  start_ms: 96240\n  end_ms: 98080\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 98080\n  end_ms: 100940\n- text: The taquitos here are very nice\n  start_ms: 100940\n  end_ms: 102510\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 102510\n  end_ms: 105470\n- text: And could you make that separate checks, please?\n  start_ms: 105470\n  end_ms: 108320\n- text: Taco\n  start_ms: 108320\n  end_ms: 113620\n- text: Grande\n  start_ms: 113620\n  end_ms: 117940\n- text: Taco\n  start_ms: 117940\n  end_ms: 122560\n- text: Grande\n  start_ms: 122560\n  end_ms: 125470\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 125470\n  end_ms: 128990\n- text: Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 128990\n  end_ms: 134980\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 134980\n  end_ms: 137720\n- text: Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 137720\n  end_ms: 142720\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 142720\n  end_ms: 144990\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 144990\n  end_ms: 147280\n- text: What you think you're doing with my chile con queso?\n  start_ms: 147280\n  end_ms: 149800\n- text: Well, if you want some, just say so\n  start_ms: 149800\n  end_ms: 151600\n- text: Oh boy, pico de gallo\n  start_ms: 151600\n  end_ms: 154160\n- text: They sure don't make it like this in Ohio\n  start_ms: 154160\n  end_ms: 156430\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 156430\n  end_ms: 159060\n- text: You can toss away the hot sauce\n  start_ms: 159060\n  end_ms: 160820\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 160820\n  end_ms: 162950\n- text: You better get me a bowl of guacamole\n  start_ms: 162950\n  end_ms: 165250\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 165250\n  end_ms: 167580\n- text: Don't you like pinto bean?\n  start_ms: 167580\n  end_ms: 169470\n- text: You want some more cinnamon crispas?\n  start_ms: 169470\n  end_ms: 172160\n- text: If you don't, hasta la vista\n  start_ms: 172160\n  end_ms: 173770\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 173770\n  end_ms: 177060\n- text: You can finish it mañana\n  start_ms: 177060\n  end_ms: 178520\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 178520\n  end_ms: 180810\n- text: Señor, la cuenta, por favor\n  start_ms: 180810\n  end_ms: 182850\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 182850\n  end_ms: 186440\n- text: Just don't drink the water\n  start_ms: 186440\n  end_ms: 190080\n- text: Taco\n  start_ms: 190080\n  end_ms: 194850\n- text: Grande\n  start_ms: 194850\n  end_ms: 199090\n- text: Taco\n  start_ms: 199090\n  end_ms: 203220\n- text: Grande\n  start_ms: 203220\n  end_ms: 207980\n- text: Taco\n  start_ms: 207980\n  end_ms: 212830\n- text: Grande\n  start_ms: 212830\n  end_ms: 217080\n- text: ''\n  start_ms: 217080\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":19508746,"name":"Taco Grande","trackName":"Taco Grande","artistName":"Weird Al Yankovic","albumName":"Permanent Record, Al In The Box: Disc 4","duration":224.100875,"instrumental":false,"hasWordSync":false,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:09.00] Taco\n[00:15.33] Grande\n[00:20.80] Taco\n[00:24.76] Grande\n[00:26.99] Yo quiero chimichangas y chile colorado\n[00:28.87] Yo tengo el dinero para un steak picado\n[00:31.29] Las flautas y tamales, siempre muy bueno\n[00:33.24] Y el chile relleno\n[00:35.20] You see, I just gotta have a tostada, carne asada\n[00:38.21] That's right, I want the whole enchilada\n[00:40.09] My only addiction has to do with a flour tortilla\n[00:42.81] I need a quesadilla\n[00:44.62] I love to stuff my face with tacos al carbón\n[00:46.70] With my friends, or when I'm all alone\n[00:49.43] Yo tengo mucho hambre y ahora lo quiero\n[00:51.45] Un burrito ranchero\n[00:53.40] So give me something spicy and hot, now\n[00:55.92] Break out the menu, what you got, now?\n[00:57.72] Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:00.75] You better make sure the beans are refried\n[01:02.52] Taco\n[01:08.36] Grande\n[01:11.60] Taco\n[01:17.69] Grande\n[01:20.15] Well, there's not a taco big enough for a man like me\n[01:23.08] That's why I order two or three\n[01:24.69] Let me give you a tip, just try a nacho chip\n[01:26.95] It's really good with bean dip\n[01:28.94] I eat uno, dos, tres, cuatro burritos\n[01:31.54] Pretty soon I can't fit in my Speedos\n[01:33.84] Well, I hope they feed us lots of chicken fajitas\n[01:36.24] And a pitcher of margaritas\n[01:38.08] Well, the combination plates all come with beans and rice\n[01:40.94] The taquitos here are very nice\n[01:42.51] Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:45.47] And could you make that separate checks, please?\n[01:48.32] Taco\n[01:53.62] Grande\n[01:57.94] Taco\n[02:02.56] Grande\n[02:05.47] \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:08.99] Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:14.98] Sus ojos se quemarán, su estomago estará en fuego\n[02:17.72] Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n[02:22.72] Well, the food is coming, I can hardly wait\n[02:24.99] Now watch your fingers, careful hot plate!\n[02:27.28] What you think you're doing with my chile con queso?\n[02:29.80] Well, if you want some, just say so\n[02:31.60] Oh boy, pico de gallo\n[02:34.16] They sure don't make it like this in Ohio\n[02:36.43] No gracias, yo quiero jalepeños, nada más\n[02:39.06] You can toss away the hot sauce\n[02:40.82] ¿Dónde están los nachos? Holy frijole!\n[02:42.95] You better get me a bowl of guacamole\n[02:45.25] ¿Y usted, Eugene? Why's your face turning green?\n[02:47.58] Don't you like pinto bean?\n[02:49.47] You want some more cinnamon crispas?\n[02:52.16] If you don't, hasta la vista\n[02:53.77] Just take the rest home in a doggie bag if you wanna\n[02:57.06] You can finish it mañana\n[02:58.52] Well, it's been a pleasure, I can't eat no more\n[03:00.81] Señor, la cuenta, por favor\n[03:02.85] If you ain't tried real Mexican cooking, well, you oughta\n[03:06.44] Just don't drink the water\n[03:10.08] Taco\n[03:14.85] Grande\n[03:19.09] Taco\n[03:23.22] Grande\n[03:27.98] Taco\n[03:32.83] Grande\n[03:37.08] ","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: Weird Al Yankovic\n  album: 'Permanent Record, Al In The Box: Disc 4'\n  duration_ms: 224101\n  instrumental: false\nlines:\n- text: Taco\n  start_ms: 9000\n  end_ms: 15330\n- text: Grande\n  start_ms: 15330\n  end_ms: 20800\n- text: Taco\n  start_ms: 20800\n  end_ms: 24760\n- text: Grande\n  start_ms: 24760\n  end_ms: 26990\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26990\n  end_ms: 28870\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 28870\n  end_ms: 31290\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31290\n  end_ms: 33240\n- text: Y el chile relleno\n  start_ms: 33240\n  end_ms: 35200\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35200\n  end_ms: 38210\n- text: That's right, I want the whole enchilada\n  start_ms: 38210\n  end_ms: 40090\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40090\n  end_ms: 42810\n- text: I need a quesadilla\n  start_ms: 42810\n  end_ms: 44620\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44620\n  end_ms: 46700\n- text: With my friends, or when I'm all alone\n  start_ms: 46700\n  end_ms: 49430\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49430\n  end_ms: 51450\n- text: Un burrito ranchero\n  start_ms: 51450\n  end_ms: 53400\n- text: So give me something spicy and hot, now\n  start_ms: 53400\n  end_ms: 55920\n- text: Break out the menu, what you got, now?\n  start_ms: 55920\n  end_ms: 57720\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 57720\n  end_ms: 60750\n- text: You better make sure the beans are refried\n  start_ms: 60750\n  end_ms: 62520\n- text: Taco\n  start_ms: 62520\n  end_ms: 68360\n- text: Grande\n  start_ms: 68360\n  end_ms: 71600\n- text: Taco\n  start_ms: 71600\n  end_ms: 77690\n- text: Grande\n  start_ms: 77690\n  end_ms: 80150\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 80150\n  end_ms: 83080\n- text: That's why I order two or three\n  start_ms: 83080\n  end_ms: 84690\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 84690\n  end_ms: 86950\n- text: It's really good with bean dip\n  start_ms: 86950\n  end_ms: 88940\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 88940\n  end_ms: 91540\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 91540\n  end_ms: 93840\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 93840\n  end_ms: 96240\n- text: And a pitcher of margaritas\n  start_ms: 96240\n  end_ms: 98080\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 98080\n  end_ms: 100940\n- text: The taquitos here are very nice\n  start_ms: 100940\n  end_ms: 102510\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 102510\n  end_ms: 105470\n- text: And could you make that separate checks, please?\n  start_ms: 105470\n  end_ms: 108320\n- text: Taco\n  start_ms: 108320\n  end_ms: 113620\n- text: Grande\n  start_ms: 113620\n  end_ms: 117940\n- text: Taco\n  start_ms: 117940\n  end_ms: 122560\n- text: Grande\n  start_ms: 122560\n  end_ms: 125470\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 125470\n  end_ms: 128990\n- text: Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 128990\n  end_ms: 134980\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 134980\n  end_ms: 137720\n- text: Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 137720\n  end_ms: 142720\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 142720\n  end_ms: 144990\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 144990\n  end_ms: 147280\n- text: What you think you're doing with my chile con queso?\n  start_ms: 147280\n  end_ms: 149800\n- text: Well, if you want some, just say so\n  start_ms: 149800\n  end_ms: 151600\n- text: Oh boy, pico de gallo\n  start_ms: 151600\n  end_ms: 154160\n- text: They sure don't make it like this in Ohio\n  start_ms: 154160\n  end_ms: 156430\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 156430\n  end_ms: 159060\n- text: You can toss away the hot sauce\n  start_ms: 159060\n  end_ms: 160820\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 160820\n  end_ms: 162950\n- text: You better get me a bowl of guacamole\n  start_ms: 162950\n  end_ms: 165250\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 165250\n  end_ms: 167580\n- text: Don't you like pinto bean?\n  start_ms: 167580\n  end_ms: 169470\n- text: You want some more cinnamon crispas?\n  start_ms: 169470\n  end_ms: 172160\n- text: If you don't, hasta la vista\n  start_ms: 172160\n  end_ms: 173770\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 173770\n  end_ms: 177060\n- text: You can finish it mañana\n  start_ms: 177060\n  end_ms: 178520\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 178520\n  end_ms: 180810\n- text: Señor, la cuenta, por favor\n  start_ms: 180810\n  end_ms: 182850\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 182850\n  end_ms: 186440\n- text: Just don't drink the water\n  start_ms: 186440\n  end_ms: 190080\n- text: Taco\n  start_ms: 190080\n  end_ms: 194850\n- text: Grande\n  start_ms: 194850\n  end_ms: 199090\n- text: Taco\n  start_ms: 199090\n  end_ms: 203220\n- text: Grande\n  start_ms: 203220\n  end_ms: 207980\n- text: Taco\n  start_ms: 207980\n  end_ms: 212830\n- text: Grande\n  start_ms: 212830\n  end_ms: 217080\n- text: ''\n  start_ms: 217080\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":10737229,"name":"Taco Grande","trackName":"Taco Grande","artistName":"«Weird Al» Yankovic","albumName":"Permanent Record : Al In The Box [CD 4]","duration":226.0,"instrumental":false,"hasWordSync":true,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos\nSi puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana\nEntiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.44]Taco\n[00:12.93]Grande\n[00:12.99]Taco\n[00:16.69]Grande\n[00:26.89]Yo quiero chimichangas y chile colorado\n[00:29.16]Yo tengo el dinero para un steak picado\n[00:31.36]Las flautas y tamales, siempre muy bueno\n[00:33.93]Y el chile relleno\n[00:35.54]You see, I just gotta have a tostada, carne asada\n[00:38.54]That's right, I want the whole enchilada\n[00:40.32]My only addiction has to do with a flour tortilla\n[00:43.17]I need a quesadilla\n[00:44.58]I love to stuff my face with tacos al carbón\n[00:47.20]With my friends, or when I'm all alone\n[00:49.04]Yo tengo mucho hambre y ahora lo quiero\n[00:51.70]Un burrito ranchero\n[00:53.57]So give me something spicy and hot, now\n[00:56.26]Break out the menu, what you got, now?\n[00:57.97]Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:00.77]You better make sure the beans are refried\n[01:06.13]Taco\n[01:10.30]Grande\n[01:15.03]Taco\n[01:18.80]Grande\n[01:20.23]Well, there's not a taco big enough for a man like me\n[01:23.03]That's why I order two or three\n[01:24.84]Let me give you a tip, just try a nacho chip\n[01:27.54]It's really good with bean dip\n[01:29.21]I eat uno, dos, tres, cuatro burritos\n[01:31.96]Pretty soon I can't fit in my Speedos\n[01:33.88]Well, I hope they feed us lots of chicken fajitas\n[01:36.46]And a pitcher of margaritas\n[01:38.29]Well, the combination plates all come with beans and rice\n[01:40.97]The taquitos here are very nice\n[01:42.75]Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:45.48]And could you make that separate checks, please?\n[01:50.84]Taco\n[01:55.02]Grande\n[01:59.72]Taco\n[02:03.98]Grande\n[02:05.47]\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:08.94]Tenemos muchos platos muy sabrosos\n[02:11.06]Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:15.15]Sus ojos se quemarán, su estomago estará en fuego\n[02:18.04]Se quedarán en el baño por una semana\n[02:20.11]Entiendes lo que digo gringo estúpido tonto?\"\n[02:22.97]Well, the food is coming, I can hardly wait\n[02:25.61]Now watch your fingers, careful hot plate!\n[02:27.48]What you think you're doing with my chile con queso?\n[02:30.03]Well, if you want some, just say so\n[02:32.28]Oh boy, pico de gallo\n[02:34.51]They sure don't make it like this in Ohio\n[02:36.64]No gracias, yo quiero jalepeños, nada más\n[02:39.02]You can toss away the hot sauce\n[02:40.62]¿Dónde están los nachos? Holy frijole!\n[02:43.56]You better get me a bowl of guacamole\n[02:45.26]¿Y usted, Eugene? Why's your face turning green?\n[02:47.95]Don't you like pinto bean?\n[02:49.71]You want some more cinnamon crispas?\n[02:52.47]If you don't, hasta la vista\n[02:53.72]Just take the rest home in a doggie bag if you wanna\n[02:57.09]You can finish it mañana\n[02:58.63]Well, it's been a pleasure, I can't eat no more\n[03:01.32]Señor, la cuenta, por favor\n[03:02.77]If you ain't tried real Mexican cooking, well, you oughta\n[03:06.19]Just don't drink the water\n[03:11.20]Taco\n[03:15.71]Grande\n[03:29.12]Taco\n[03:33.32]Grande\n[03:44.10]Taco\n[03:44.29]Grande","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: «Weird Al» Yankovic\n  album: 'Permanent Record : Al In The Box [CD 4]'\n  duration_ms: 226000\n  instrumental: false\n  language: en\nlines:\n- text: Taco\n  start_ms: 12440\n  end_ms: 12920\n  words:\n  - text: Taco\n    start_ms: 12440\n- text: Grande\n  start_ms: 12930\n  end_ms: 12930\n  words:\n  - text: Grande\n    start_ms: 12930\n- text: Taco\n  start_ms: 12990\n  end_ms: 13050\n  words:\n  - text: Taco\n    start_ms: 12990\n- text: Grande\n  start_ms: 16690\n  end_ms: 17650\n  words:\n  - text: Grande\n    start_ms: 16690\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26890\n  end_ms: 28970\n  words:\n  - text: 'Yo '\n    start_ms: 26890\n  - text: 'quiero '\n    start_ms: 27010\n  - text: 'chimichangas '\n    start_ms: 27290\n  - text: 'y '\n    start_ms: 28050\n  - text: 'chile '\n    start_ms: 28130\n  - text: colorado\n    start_ms: 28450\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29160\n  end_ms: 31220\n  words:\n  - text: 'Yo '\n    start_ms: 29160\n  - text: 'tengo '\n    start_ms: 29280\n  - text: 'el '\n    start_ms: 29620\n  - text: 'dinero '\n    start_ms: 29740\n  - text: 'para '\n    start_ms: 30240\n  - text: 'un '\n    start_ms: 30480\n  - text: 'steak '\n    start_ms: 30600\n  - text: picado\n    start_ms: 30820\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31360\n  end_ms: 33560\n  words:\n  - text: 'Las '\n    start_ms: 31360\n  - text: 'flautas '\n    start_ms: 31500\n  - text: 'y '\n    start_ms: 31840\n  - text: 'tamales, '\n    start_ms: 31960\n  - text: 'siempre '\n    start_ms: 32499\n  - text: 'muy '\n    start_ms: 32940\n  - text: bueno\n    start_ms: 33160\n- text: Y el chile relleno\n  start_ms: 33930\n  end_ms: 35230\n  words:\n  - text: 'Y '\n    start_ms: 33930\n  - text: 'el '\n    start_ms: 34030\n  - text: 'chile '\n    start_ms: 34150\n  - text: relleno\n    start_ms: 34610\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35540\n  end_ms: 38420\n  words:\n  - text: 'You '\n    start_ms: 35540\n  - text: 'see, '\n    start_ms: 35640\n  - text: 'I '\n    start_ms: 36000\n  - text: 'just '\n    start_ms: 36140\n  - text: 'gotta '\n    start_ms: 36380\n  - text: 'have '\n    start_ms: 36780\n  - text: 'a '\n    start_ms: 36940\n  - text: 'tostada, '\n    start_ms: 37040\n  - text: 'carne '\n    start_ms: 37580\n  - text: asada\n    start_ms: 37960\n- text: That's right, I want the whole enchilada\n  start_ms: 38540\n  end_ms: 40080\n  words:\n  - text: 'That''s '\n    start_ms: 38540\n  - text: 'right, '\n    start_ms: 38740\n  - text: 'I '\n    start_ms: 38920\n  - text: 'want '\n    start_ms: 38980\n  - text: 'the '\n    start_ms: 39140\n  - text: 'whole '\n    start_ms: 39240\n  - text: enchilada\n    start_ms: 39460\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40320\n  end_ms: 42940\n  words:\n  - text: 'My '\n    start_ms: 40320\n  - text: 'only '\n    start_ms: 40500\n  - text: 'addiction '\n    start_ms: 40780\n  - text: 'has '\n    start_ms: 41280\n  - text: 'to '\n    start_ms: 41440\n  - text: 'do '\n    start_ms: 41580\n  - text: 'with '\n    start_ms: 41720\n  - text: 'a '\n    start_ms: 41820\n  - text: 'flour '\n    start_ms: 41940\n  - text: tortilla\n    start_ms: 42260\n- text: I need a quesadilla\n  start_ms: 43170\n  end_ms: 44270\n  words:\n  - text: 'I '\n    start_ms: 43170\n  - text: 'need '\n    start_ms: 43250\n  - text: 'a '\n    start_ms: 43430\n  - text: quesadilla\n    start_ms: 43530\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44580\n  end_ms: 46880\n  words:\n  - text: 'I '\n    start_ms: 44580\n  - text: 'love '\n    start_ms: 44640\n  - text: 'to '\n    start_ms: 44800\n  - text: 'stuff '\n    start_ms: 44920\n  - text: 'my '\n    start_ms: 45140\n  - text: 'face '\n    start_ms: 45380\n  - text: 'with '\n    start_ms: 45660\n  - text: 'tacos '\n    start_ms: 45800\n  - text: 'al '\n    start_ms: 46120\n  - text: carbón\n    start_ms: 46260\n- text: With my friends, or when I'm all alone\n  start_ms: 47200\n  end_ms: 48700\n  words:\n  - text: 'With '\n    start_ms: 47200\n  - text: 'my '\n    start_ms: 47320\n  - text: 'friends, '\n    start_ms: 47480\n  - text: 'or '\n    start_ms: 47800\n  - text: 'when '\n    start_ms: 47900\n  - text: 'I''m '\n    start_ms: 48080\n  - text: 'all '\n    start_ms: 48220\n  - text: alone\n    start_ms: 48360\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49040\n  end_ms: 51560\n  words:\n  - text: 'Yo '\n    start_ms: 49040\n  - text: 'tengo '\n    start_ms: 49160\n  - text: 'mucho '\n    start_ms: 49440\n  - text: 'hambre '\n    start_ms: 49920\n  - text: 'y '\n    start_ms: 50340\n  - text: 'ahora '\n    start_ms: 50460\n  - text: 'lo '\n    start_ms: 50800\n  - text: quiero\n    start_ms: 51100\n- text: Un burrito ranchero\n  start_ms: 51700\n  end_ms: 53100\n  words:\n  - text: 'Un '\n    start_ms: 51700\n  - text: 'burrito '\n    start_ms: 51820\n  - text: ranchero\n    start_ms: 52360\n- text: So give me something spicy and hot, now\n  start_ms: 53570\n  end_ms: 56070\n  words:\n  - text: 'So '\n    start_ms: 53570\n  - text: 'give '\n    start_ms: 53870\n  - text: 'me '\n    start_ms: 54150\n  - text: 'something '\n    start_ms: 54390\n  - text: 'spicy '\n    start_ms: 54830\n  - text: 'and '\n    start_ms: 55310\n  - text: 'hot, '\n    start_ms: 55510\n  - text: now\n    start_ms: 55810\n- text: Break out the menu, what you got, now?\n  start_ms: 56260\n  end_ms: 57780\n  words:\n  - text: 'Break '\n    start_ms: 56260\n  - text: 'out '\n    start_ms: 56460\n  - text: 'the '\n    start_ms: 56580\n  - 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text: 'You '\n    start_ms: 60770\n  - text: 'better '\n    start_ms: 60850\n  - text: 'make '\n    start_ms: 60990\n  - text: 'sure '\n    start_ms: 61130\n  - text: 'the '\n    start_ms: 61310\n  - text: 'beans '\n    start_ms: 61410\n  - text: 'are '\n    start_ms: 61630\n  - text: refried\n    start_ms: 61750\n- text: Taco\n  start_ms: 66130\n  end_ms: 66630\n  words:\n  - text: Taco\n    start_ms: 66130\n- text: Grande\n  start_ms: 70300\n  end_ms: 71140\n  words:\n  - text: Grande\n    start_ms: 70300\n- text: Taco\n  start_ms: 75030\n  end_ms: 75570\n  words:\n  - text: Taco\n    start_ms: 75030\n- text: Grande\n  start_ms: 78800\n  end_ms: 78800\n  words:\n  - text: Grande\n    start_ms: 78800\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 80230\n  end_ms: 82950\n  words:\n  - text: 'Well, '\n    start_ms: 80230\n  - text: 'there''s '\n    start_ms: 80350\n  - text: 'not '\n    start_ms: 80650\n  - text: 'a '\n    start_ms: 80910\n  - text: 'taco '\n    start_ms: 81070\n  - text: 'big '\n    start_ms: 81490\n  - text: 'enough '\n    start_ms: 81690\n  - text: 'for '\n    start_ms: 81910\n  - text: 'a '\n    start_ms: 82090\n  - text: 'man '\n    start_ms: 82230\n  - text: 'like '\n    start_ms: 82490\n  - text: me\n    start_ms: 82770\n- text: That's why I order two or three\n  start_ms: 83030\n  end_ms: 84470\n  words:\n  - text: 'That''s '\n    start_ms: 83030\n  - text: 'why '\n    start_ms: 83210\n  - text: 'I '\n    start_ms: 83390\n  - text: 'order '\n    start_ms: 83510\n  - text: 'two '\n    start_ms: 83770\n  - text: 'or '\n    start_ms: 83990\n  - text: three\n    start_ms: 84150\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 84840\n  end_ms: 87120\n  words:\n  - text: 'Let '\n    start_ms: 84840\n  - text: 'me '\n    start_ms: 85000\n  - text: 'give '\n    start_ms: 85140\n  - text: 'you '\n    start_ms: 85360\n  - text: 'a '\n    start_ms: 85500\n  - text: 'tip, '\n    start_ms: 85620\n  - text: 'just '\n    start_ms: 85880\n  - text: 'try '\n    start_ms: 86000\n  - text: 'a '\n    start_ms: 86200\n  - text: 'nacho '\n    start_ms: 86300\n  - text: chip\n    start_ms: 86800\n- text: It's really good with bean dip\n  start_ms: 87540\n  end_ms: 88760\n  words:\n  - text: 'It''s '\n    start_ms: 87540\n  - text: 'really '\n    start_ms: 87680\n  - text: 'good '\n    start_ms: 87940\n  - text: 'with '\n    start_ms: 88080\n  - text: 'bean '\n    start_ms: 88220\n  - text: dip\n    start_ms: 88500\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 89210\n  end_ms: 91750\n  words:\n  - text: 'I '\n    start_ms: 89210\n  - text: 'eat '\n    start_ms: 89330\n  - text: 'uno, '\n    start_ms: 89670\n  - text: 'dos, '\n    start_ms: 90050\n  - text: 'tres, '\n    start_ms: 90390\n  - text: 'cuatro '\n    start_ms: 90790\n  - text: burritos\n    start_ms: 91090\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 91960\n  end_ms: 93720\n  words:\n  - text: 'Pretty '\n    start_ms: 91960\n  - text: 'soon '\n    start_ms: 92260\n  - text: 'I '\n    start_ms: 92660\n  - text: 'can''t '\n    start_ms: 92800\n  - text: 'fit '\n    start_ms: 93080\n  - text: 'in '\n    start_ms: 93240\n  - text: 'my '\n    start_ms: 93320\n  - text: Speedos\n    start_ms: 93460\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 93880\n  end_ms: 96260\n  words:\n  - text: 'Well, '\n    start_ms: 93880\n  - text: 'I '\n    start_ms: 94060\n  - text: 'hope '\n    start_ms: 94140\n  - text: 'they '\n    start_ms: 94400\n  - text: 'feed '\n    start_ms: 94600\n  - text: 'us '\n    start_ms: 94860\n  - text: 'lots '\n    start_ms: 94960\n  - text: 'of '\n    start_ms: 95140\n  - text: 'chicken '\n    start_ms: 95240\n  - text: fajitas\n    start_ms: 95540\n- text: And a pitcher of margaritas\n  start_ms: 96460\n  end_ms: 98060\n  words:\n  - text: 'And '\n    start_ms: 96460\n  - text: 'a '\n    start_ms: 96640\n  - text: 'pitcher '\n    start_ms: 96760\n  - text: 'of '\n    start_ms: 97140\n  - text: margaritas\n    start_ms: 97180\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 98290\n  end_ms: 100910\n  words:\n  - text: 'Well, '\n    start_ms: 98290\n  - text: 'the '\n    start_ms: 98430\n  - text: 'combination '\n    start_ms: 98570\n  - text: 'plates '\n    start_ms: 99510\n  - text: 'all '\n    start_ms: 99830\n  - text: 'come '\n    start_ms: 99950\n  - text: 'with '\n    start_ms: 100090\n  - text: 'beans '\n    start_ms: 100250\n  - text: 'and '\n    start_ms: 100490\n  - text: rice\n    start_ms: 100670\n- text: The taquitos here are very nice\n  start_ms: 100970\n  end_ms: 102530\n  words:\n  - text: 'The '\n    start_ms: 100970\n  - text: 'taquitos '\n    start_ms: 101090\n  - text: 'here '\n    start_ms: 101670\n  - text: 'are '\n    start_ms: 101810\n  - text: 'very '\n    start_ms: 101930\n  - text: nice\n    start_ms: 102190\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 102750\n  end_ms: 105410\n  words:\n  - text: 'Now '\n    start_ms: 102750\n  - text: 'I''m '\n    start_ms: 102910\n  - text: 'down '\n    start_ms: 103010\n  - text: 'on '\n    start_ms: 103190\n  - text: 'my '\n    start_ms: 103310\n  - text: 'knees, '\n    start_ms: 103450\n  - text: 'we '\n    start_ms: 103770\n  - text: 'need '\n    start_ms: 103870\n  - text: 'some '\n    start_ms: 104010\n  - text: 'extra '\n    start_ms: 104190\n  - text: 'tomatoes '\n    start_ms: 104430\n  - text: 'and '\n    start_ms: 104930\n  - text: cheese\n    start_ms: 105110\n- text: And could you make that separate checks, please?\n  start_ms: 105480\n  end_ms: 107220\n  words:\n  - text: 'And '\n    start_ms: 105480\n  - text: 'could '\n    start_ms: 105580\n  - text: 'you '\n    start_ms: 105740\n  - text: 'make '\n    start_ms: 105820\n  - text: 'that '\n    start_ms: 105980\n  - text: 'separate '\n    start_ms: 106120\n  - text: 'checks, '\n    start_ms: 106420\n  - text: please?\n    start_ms: 106700\n- text: Taco\n  start_ms: 110840\n  end_ms: 111340\n  words:\n  - text: Taco\n    start_ms: 110840\n- text: Grande\n  start_ms: 115020\n  end_ms: 116040\n  words:\n  - text: Grande\n    start_ms: 115020\n- text: Taco\n  start_ms: 119720\n  end_ms: 120260\n  words:\n  - text: Taco\n    start_ms: 119720\n- text: Grande\n  start_ms: 123980\n  end_ms: 124820\n  words:\n  - text: Grande\n    start_ms: 123980\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 125470\n  end_ms: 128810\n  words:\n  - text: '\"Buenos '\n    start_ms: 125490\n  - text: 'noches, '\n    start_ms: 125750\n  - text: 'señor. '\n    start_ms: 126050\n  - text: 'bienvenido '\n    start_ms: 126590\n  - text: 'a '\n    start_ms: 127170\n  - text: 'Enrico''s '\n    start_ms: 127290\n  - text: 'Casa '\n    start_ms: 128029\n  - text: 'de '\n    start_ms: 128270\n  - text: Salsa\n    start_ms: 128409\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 128940\n  end_ms: 130660\n  words:\n  - text: 'Tenemos '\n    start_ms: 128940\n  - text: 'muchos '\n    start_ms: 129259\n  - text: 'platos '\n    start_ms: 129580\n  - text: 'muy '\n    start_ms: 129979\n  - text: sabrosos\n    start_ms: 130199\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 131060\n  end_ms: 134901\n  words:\n  - text: 'Si '\n    start_ms: 131060\n  - text: 'puedo '\n    start_ms: 131181\n  - text: 'recomendar '\n    start_ms: 131381\n  - text: 'el '\n    start_ms: 131961\n  - text: 'ardiente '\n    start_ms: 132121\n  - text: 'pollo '\n    start_ms: 132681\n  - text: 'al '\n    start_ms: 133001\n  - text: 'infierno '\n    start_ms: 133141\n  - text: 'muy '\n    start_ms: 133761\n  - text: delicioso\n    start_ms: 134101\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 135150\n  end_ms: 137790\n  words:\n  - text: 'Sus '\n    start_ms: 135150\n  - text: 'ojos '\n    start_ms: 135330\n  - text: 'se '\n    start_ms: 135570\n  - text: 'quemarán, '\n    start_ms: 135670\n  - text: 'su '\n    start_ms: 136430\n  - text: 'estomago '\n    start_ms: 136510\n  - text: 'estará '\n    start_ms: 136970\n  - text: 'en '\n    start_ms: 137310\n  - text: fuego\n    start_ms: 137530\n- text: Se quedarán en el baño por una semana\n  start_ms: 138040\n  end_ms: 139880\n  words:\n  - text: 'Se '\n    start_ms: 138040\n  - text: 'quedarán '\n    start_ms: 138160\n  - text: 'en '\n    start_ms: 138560\n  - text: 'el '\n    start_ms: 138660\n  - text: 'baño '\n    start_ms: 138800\n  - text: 'por '\n    start_ms: 139080\n  - text: 'una '\n    start_ms: 139260\n  - text: semana\n    start_ms: 139460\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 140110\n  end_ms: 142670\n  words:\n  - text: 'Entiendes '\n    start_ms: 140110\n  - text: 'lo '\n    start_ms: 140530\n  - text: 'que '\n    start_ms: 140650\n  - text: 'digo '\n    start_ms: 140850\n  - text: 'gringo '\n    start_ms: 141270\n  - text: 'estúpido '\n    start_ms: 141610\n  - text: tonto?\"\n    start_ms: 142170\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 142970\n  end_ms: 145050\n  words:\n  - text: 'Well, '\n    start_ms: 142970\n  - text: 'the '\n    start_ms: 143110\n  - text: 'food '\n    start_ms: 143230\n  - text: 'is '\n    start_ms: 143450\n  - text: 'coming, '\n    start_ms: 143650\n  - text: 'I '\n    start_ms: 144110\n  - text: 'can '\n    start_ms: 144170\n  - text: 'hardly '\n    start_ms: 144310\n  - text: wait\n    start_ms: 144750\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 145610\n  end_ms: 147110\n  words:\n  - text: 'Now '\n    start_ms: 145610\n  - text: 'watch '\n    start_ms: 145730\n  - text: 'your '\n    start_ms: 145910\n  - text: 'fingers, '\n    start_ms: 146010\n  - text: 'careful '\n    start_ms: 146310\n  - text: 'hot '\n    start_ms: 146590\n  - text: plate!\n    start_ms: 146810\n- text: What you think you're doing with my chile con queso?\n  start_ms: 147480\n  end_ms: 149920\n  words:\n  - text: 'What '\n    start_ms: 147480\n  - text: 'you '\n    start_ms: 147660\n  - text: 'think '\n    start_ms: 147760\n  - text: 'you''re '\n    start_ms: 147940\n  - text: 'doing '\n    start_ms: 148240\n  - text: 'with '\n    start_ms: 148600\n  - text: 'my '\n    start_ms: 148720\n  - text: 'chile '\n    start_ms: 148860\n  - text: 'con '\n    start_ms: 149140\n  - text: queso?\n    start_ms: 149420\n- text: Well, if you want some, just say so\n  start_ms: 150030\n  end_ms: 151450\n  words:\n  - text: 'Well, '\n    start_ms: 150030\n  - text: 'if '\n    start_ms: 150210\n  - text: 'you '\n    start_ms: 150330\n  - text: 'want '\n    start_ms: 150430\n  - text: 'some, '\n    start_ms: 150590\n  - text: 'just '\n    start_ms: 150750\n  - text: 'say '\n    start_ms: 150990\n  - text: so\n    start_ms: 151290\n- text: Oh boy, pico de gallo\n  start_ms: 152280\n  end_ms: 154280\n  words:\n  - text: 'Oh '\n    start_ms: 152280\n  - text: 'boy, '\n    start_ms: 152640\n  - text: 'pico '\n    start_ms: 153500\n  - text: 'de '\n    start_ms: 153800\n  - text: gallo\n    start_ms: 153920\n- text: They sure don't make it like this in Ohio\n  start_ms: 154510\n  end_ms: 156450\n  words:\n  - text: 'They '\n    start_ms: 154510\n  - text: 'sure '\n    start_ms: 154610\n  - text: 'don''t '\n    start_ms: 154770\n  - text: 'make '\n    start_ms: 154950\n  - text: 'it '\n    start_ms: 155130\n  - text: 'like '\n    start_ms: 155210\n  - text: 'this '\n    start_ms: 155410\n  - text: 'in '\n    start_ms: 155690\n  - text: Ohio\n    start_ms: 155850\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 156640\n  end_ms: 159020\n  words:\n  - text: 'No '\n    start_ms: 156640\n  - text: 'gracias, '\n    start_ms: 156800\n  - text: 'yo '\n    start_ms: 157360\n  - text: 'quiero '\n    start_ms: 157480\n  - text: 'jalepeños, '\n    start_ms: 157780\n  - text: 'nada '\n    start_ms: 158540\n  - text: más\n    start_ms: 158800\n- text: You can toss away the hot sauce\n  start_ms: 159020\n  end_ms: 160480\n  words:\n  - text: 'You '\n    start_ms: 159020\n  - text: 'can '\n    start_ms: 159120\n  - text: 'toss '\n    start_ms: 159280\n  - text: 'away '\n    start_ms: 159620\n  - text: 'the '\n    start_ms: 159840\n  - text: 'hot '\n    start_ms: 159940\n  - text: sauce\n    start_ms: 160220\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 160620\n  end_ms: 163040\n  words:\n  - text: '¿Dónde '\n    start_ms: 160680\n  - text: 'están '\n    start_ms: 160960\n  - text: 'los '\n    start_ms: 161260\n  - text: 'nachos? '\n    start_ms: 161540\n  - text: 'Holy '\n    start_ms: 162320\n  - text: frijole!\n    start_ms: 162600\n- text: You better get me a bowl of guacamole\n  start_ms: 163560\n  end_ms: 165260\n  words:\n  - text: 'You '\n    start_ms: 163560\n  - text: 'better '\n    start_ms: 163677\n  - text: 'get '\n    start_ms: 163970\n  - text: 'me '\n    start_ms: 164127\n  - text: 'a '\n    start_ms: 164400\n  - text: 'bowl '\n    start_ms: 164498\n  - text: 'of '\n    start_ms: 164693\n  - text: guacamole\n    start_ms: 164771\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 165260\n  end_ms: 167500\n  words:\n  - text: '¿Y '\n    start_ms: 165360\n  - text: 'usted, '\n    start_ms: 165440\n  - text: 'Eugene? '\n    start_ms: 165840\n  - text: 'Why''s '\n    start_ms: 166360\n  - text: 'your '\n    start_ms: 166540\n  - text: 'face '\n    start_ms: 166660\n  - text: 'turning '\n    start_ms: 166860\n  - text: green?\n    start_ms: 167120\n- text: Don't you like pinto bean?\n  start_ms: 167950\n  end_ms: 169350\n  words:\n  - text: 'Don''t '\n    start_ms: 167950\n  - text: 'you '\n    start_ms: 168130\n  - text: 'like '\n    start_ms: 168310\n  - text: 'pinto '\n    start_ms: 168690\n  - text: bean?\n    start_ms: 168990\n- text: You want some more cinnamon crispas?\n  start_ms: 169710\n  end_ms: 172210\n  words:\n  - text: 'You '\n    start_ms: 169710\n  - text: 'want '\n    start_ms: 169970\n  - text: 'some '\n    start_ms: 170270\n  - text: 'more '\n    start_ms: 170470\n  - text: 'cinnamon '\n    start_ms: 171230\n  - text: crispas?\n    start_ms: 171630\n- text: If you don't, hasta la vista\n  start_ms: 172470\n  end_ms: 173630\n  words:\n  - text: 'If '\n    start_ms: 172470\n  - text: 'you '\n    start_ms: 172590\n  - text: 'don''t, '\n    start_ms: 172730\n  - text: 'hasta '\n    start_ms: 172990\n  - text: 'la '\n    start_ms: 173270\n  - text: vista\n    start_ms: 173390\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 173720\n  end_ms: 176940\n  words:\n  - text: 'Just '\n    start_ms: 173720\n  - text: 'take '\n    start_ms: 173960\n  - text: 'the '\n    start_ms: 174200\n  - text: 'rest '\n    start_ms: 174500\n  - text: 'home '\n    start_ms: 174780\n  - text: 'in '\n    start_ms: 175140\n  - text: 'a '\n    start_ms: 175300\n  - text: 'doggie '\n    start_ms: 175500\n  - text: 'bag '\n    start_ms: 176060\n  - text: 'if '\n    start_ms: 176360\n  - text: 'you '\n    start_ms: 176500\n  - text: wanna\n    start_ms: 176660\n- text: You can finish it mañana\n  start_ms: 177090\n  end_ms: 178270\n  words:\n  - text: 'You '\n    start_ms: 177090\n  - text: 'can '\n    start_ms: 177210\n  - text: 'finish '\n    start_ms: 177370\n  - text: 'it '\n    start_ms: 177650\n  - text: mañana\n    start_ms: 177770\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 178630\n  end_ms: 180930\n  words:\n  - text: 'Well, '\n    start_ms: 178630\n  - text: 'it''s '\n    start_ms: 178810\n  - text: 'been '\n    start_ms: 179030\n  - text: 'a '\n    start_ms: 179250\n  - text: 'pleasure, '\n    start_ms: 179410\n  - text: 'I '\n    start_ms: 179890\n  - text: 'can''t '\n    start_ms: 179990\n  - text: 'eat '\n    start_ms: 180170\n  - text: 'no '\n    start_ms: 180390\n  - text: more\n    start_ms: 180590\n- text: Señor, la cuenta, por favor\n  start_ms: 181320\n  end_ms: 182500\n  words:\n  - text: 'Señor, '\n    start_ms: 181320\n  - text: 'la '\n    start_ms: 181600\n  - text: 'cuenta, '\n    start_ms: 181720\n  - text: 'por '\n    start_ms: 182020\n  - text: favor\n    start_ms: 182180\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 182770\n  end_ms: 186030\n  words:\n  - text: 'If '\n    start_ms: 182770\n  - text: 'you '\n    start_ms: 183010\n  - text: 'ain''t '\n    start_ms: 183250\n  - text: 'tried '\n    start_ms: 183910\n  - text: 'real '\n    start_ms: 184270\n  - text: 'Mexican '\n    start_ms: 184530\n  - text: 'cooking, '\n    start_ms: 185090\n  - text: 'well, '\n    start_ms: 185470\n  - text: 'you '\n    start_ms: 185650\n  - text: oughta\n    start_ms: 185810\n- text: Just don't drink the water\n  start_ms: 186190\n  end_ms: 187250\n  words:\n  - text: 'Just '\n    start_ms: 186190\n  - text: 'don''t '\n    start_ms: 186430\n  - text: 'drink '\n    start_ms: 186570\n  - text: 'the '\n    start_ms: 186750\n  - text: water\n    start_ms: 186870\n- text: Taco\n  start_ms: 191200\n  end_ms: 195440\n  words:\n  - text: Taco\n    start_ms: 191200\n- text: Grande\n  start_ms: 195710\n  end_ms: 196270\n  words:\n  - text: Grande\n    start_ms: 195710\n- text: Taco\n  start_ms: 209120\n  end_ms: 213320\n  words:\n  - text: Taco\n    start_ms: 209120\n- text: Grande\n  start_ms: 213320\n  end_ms: 214120\n  words:\n  - text: Grande\n    start_ms: 213320\n- text: Taco\n  start_ms: 224100\n  end_ms: 224120\n  words:\n  - text: Taco\n    start_ms: 224100\n- text: Grande\n  start_ms: 224290\n  end_ms: 224410\n  words:\n  - text: Grande\n    start_ms: 224290\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos\n  Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana\n  Entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":12732105,"name":"Taco Grande","trackName":"Taco Grande","artistName":"Weird Al Yankovic","albumName":"Permanent Record - Al in the Box - Disc 4","duration":227.0,"instrumental":false,"hasWordSync":true,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos\nSi puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana\nEntiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.25] Taco\n[00:16.51] Grande\n[00:21.13] Taco\n[00:25.41] Grande\n[00:26.97] Yo quiero chimichangas y chile colorado\n[00:29.29] Yo tengo el dinero para un steak picado\n[00:31.59] Las flautas y tamales, siempre muy bueno\n[00:33.99] Y el chile relleno\n[00:35.53] You see, I just gotta have a tostada, carne asada\n[00:38.63] That's right, I want the whole enchilada\n[00:40.58] My only addiction has to do with a flour tortilla\n[00:43.45] I need a quesadilla\n[00:44.74] I love to stuff my face with tacos al carbón\n[00:47.50] With my friends, or when I'm all alone\n[00:49.49] Yo tengo mucho hambre y ahora lo quiero\n[00:51.92] Un burrito ranchero\n[00:54.18] So give me something spicy and hot, now\n[00:56.75] Break out the menu, what you got, now?\n[00:58.72] Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:01.31] You better make sure the beans are refried\n[01:06.83] Taco\n[01:11.09] Grande\n[01:15.87] Taco\n[01:20.35] Grande\n[01:21.24] Well, there's not a taco big enough for a man like me\n[01:23.91] That's why I order two or three\n[01:25.75] Let me give you a tip, just try a nacho chip\n[01:28.50] It's really good with bean dip\n[01:30.28] I eat uno, dos, tres, cuatro burritos\n[01:32.96] Pretty soon I can't fit in my Speedos\n[01:34.78] Well, I hope they feed us lots of chicken fajitas\n[01:37.54] And a pitcher of margaritas\n[01:39.28] Well, the combination plates all come with beans and rice\n[01:42.02] The taquitos here are very nice\n[01:43.95] Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:46.86] And could you make that separate checks, please?\n[01:52.11] Taco\n[01:56.75] Grande\n[02:01.15] Taco\n[02:05.43] Grande\n[02:07.08] \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:10.54] Tenemos muchos platos muy sabrosos\n[02:12.79] Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:16.92] Sus ojos se quemarán, su estomago estará en fuego\n[02:19.74] Se quedarán en el baño por una semana\n[02:21.99] Entiendes lo que digo gringo estúpido tonto?\"\n[02:24.85] Well, the food is coming, I can hardly wait\n[02:27.43] Now watch your fingers, careful hot plate!\n[02:29.23] What you think you're doing with my chile con queso?\n[02:31.98] Well, if you want some, just say so\n[02:34.05] Oh boy, pico de gallo\n[02:36.65] They sure don't make it like this in Ohio\n[02:38.57] No gracias, yo quiero jalepeños, nada más\n[02:41.02] You can toss away the hot sauce\n[02:42.91] ¿Dónde están los nachos? Holy frijole!\n[02:45.31] You better get me a bowl of guacamole\n[02:47.34] ¿Y usted, Eugene? Why's your face turning green?\n[02:50.06] Don't you like pinto bean?\n[02:51.82] You want some more cinnamon crispas?\n[02:54.62] If you don't, hasta la vista\n[02:56.03] Just take the rest home in a doggie bag if you wanna\n[02:59.31] You can finish it mañana\n[03:00.87] Well, it's been a pleasure, I can't eat no more\n[03:03.42] Señor, la cuenta, por favor\n[03:05.13] If you ain't tried real Mexican cooking, well, you oughta\n[03:08.33] Just don't drink the water\n[03:13.58] Taco\n[03:18.25] Grande\n[03:22.69] Taco\n[03:27.34] Grande\n[03:31.69] Taco\n[03:36.37] Grande\n[03:37.98] ","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: Weird Al Yankovic\n  album: Permanent Record - Al in the Box - Disc 4\n  duration_ms: 227000\n  instrumental: false\n  language: en\nlines:\n- text: Taco\n  start_ms: 12240\n  end_ms: 12720\n  words:\n  - text: Taco\n    start_ms: 12240\n- text: Grande\n  start_ms: 16500\n  end_ms: 16500\n  words:\n  - text: Grande\n    start_ms: 16500\n- text: Taco\n  start_ms: 21190\n  end_ms: 21250\n  words:\n  - text: Taco\n    start_ms: 21190\n- text: Grande\n  start_ms: 25420\n  end_ms: 26380\n  words:\n  - text: Grande\n    start_ms: 25420\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26980\n  end_ms: 29060\n  words:\n  - text: 'Yo '\n    start_ms: 26980\n  - text: 'quiero '\n    start_ms: 27100\n  - text: 'chimichangas '\n    start_ms: 27380\n  - text: 'y '\n    start_ms: 28140\n  - text: 'chile '\n    start_ms: 28220\n  - text: colorado\n    start_ms: 28540\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29250\n  end_ms: 31310\n  words:\n  - text: 'Yo '\n    start_ms: 29250\n  - text: 'tengo '\n    start_ms: 29370\n  - text: 'el '\n    start_ms: 29710\n  - text: 'dinero '\n    start_ms: 29830\n  - text: 'para '\n    start_ms: 30330\n  - text: 'un '\n    start_ms: 30570\n  - text: 'steak '\n    start_ms: 30690\n  - text: picado\n    start_ms: 30910\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31520\n  end_ms: 33720\n  words:\n  - text: 'Las '\n    start_ms: 31520\n  - text: 'flautas '\n    start_ms: 31660\n  - text: 'y '\n    start_ms: 32000\n  - text: 'tamales, '\n    start_ms: 32120\n  - text: 'siempre '\n    start_ms: 32659\n  - text: 'muy '\n    start_ms: 33100\n  - text: bueno\n    start_ms: 33320\n- text: Y el chile relleno\n  start_ms: 33910\n  end_ms: 35210\n  words:\n  - text: 'Y '\n    start_ms: 33910\n  - text: 'el '\n    start_ms: 34010\n  - text: 'chile '\n    start_ms: 34130\n  - text: relleno\n    start_ms: 34590\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35520\n  end_ms: 38400\n  words:\n  - text: 'You '\n    start_ms: 35520\n  - text: 'see, '\n    start_ms: 35620\n  - text: 'I '\n    start_ms: 35980\n  - text: 'just '\n    start_ms: 36120\n  - text: 'gotta '\n    start_ms: 36360\n  - text: 'have '\n    start_ms: 36760\n  - text: 'a '\n    start_ms: 36920\n  - text: 'tostada, '\n    start_ms: 37020\n  - text: 'carne '\n    start_ms: 37560\n  - text: asada\n    start_ms: 37940\n- text: That's right, I want the whole enchilada\n  start_ms: 38690\n  end_ms: 40230\n  words:\n  - text: 'That''s '\n    start_ms: 38690\n  - text: 'right, '\n    start_ms: 38890\n  - text: 'I '\n    start_ms: 39070\n  - text: 'want '\n    start_ms: 39130\n  - text: 'the '\n    start_ms: 39290\n  - text: 'whole '\n    start_ms: 39390\n  - text: enchilada\n    start_ms: 39610\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40570\n  end_ms: 43190\n  words:\n  - text: 'My '\n    start_ms: 40570\n  - text: 'only '\n    start_ms: 40750\n  - text: 'addiction '\n    start_ms: 41030\n  - text: 'has '\n    start_ms: 41530\n  - text: 'to '\n    start_ms: 41690\n  - text: 'do '\n    start_ms: 41830\n  - text: 'with '\n    start_ms: 41970\n  - text: 'a '\n    start_ms: 42070\n  - text: 'flour '\n    start_ms: 42190\n  - text: tortilla\n    start_ms: 42510\n- text: I need a quesadilla\n  start_ms: 43450\n  end_ms: 44550\n  words:\n  - text: 'I '\n    start_ms: 43450\n  - text: 'need '\n    start_ms: 43530\n  - text: 'a '\n    start_ms: 43710\n  - text: quesadilla\n    start_ms: 43810\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44740\n  end_ms: 47040\n  words:\n  - text: 'I '\n    start_ms: 44740\n  - text: 'love '\n    start_ms: 44800\n  - text: 'to '\n    start_ms: 44960\n  - text: 'stuff '\n    start_ms: 45080\n  - text: 'my '\n    start_ms: 45300\n  - text: 'face '\n    start_ms: 45540\n  - text: 'with '\n    start_ms: 45820\n  - text: 'tacos '\n    start_ms: 45960\n  - text: 'al '\n    start_ms: 46280\n  - text: carbón\n    start_ms: 46420\n- text: With my friends, or when I'm all alone\n  start_ms: 47510\n  end_ms: 49010\n  words:\n  - text: 'With '\n    start_ms: 47510\n  - text: 'my '\n    start_ms: 47630\n  - text: 'friends, '\n    start_ms: 47790\n  - text: 'or '\n    start_ms: 48110\n  - text: 'when '\n    start_ms: 48210\n  - text: 'I''m '\n    start_ms: 48390\n  - text: 'all '\n    start_ms: 48530\n  - text: alone\n    start_ms: 48670\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49450\n  end_ms: 51900\n  words:\n  - text: 'Yo '\n    start_ms: 49450\n  - text: 'tengo '\n    start_ms: 49567\n  - text: 'mucho '\n    start_ms: 49839\n  - 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text: 'You '\n    start_ms: 61340\n  - text: 'better '\n    start_ms: 61420\n  - text: 'make '\n    start_ms: 61560\n  - text: 'sure '\n    start_ms: 61700\n  - text: 'the '\n    start_ms: 61880\n  - text: 'beans '\n    start_ms: 61980\n  - text: 'are '\n    start_ms: 62200\n  - text: refried\n    start_ms: 62320\n- text: Taco\n  start_ms: 66880\n  end_ms: 67380\n  words:\n  - text: Taco\n    start_ms: 66880\n- text: Grande\n  start_ms: 71020\n  end_ms: 71860\n  words:\n  - text: Grande\n    start_ms: 71020\n- text: Taco\n  start_ms: 75850\n  end_ms: 76390\n  words:\n  - text: Taco\n    start_ms: 75850\n- text: Grande\n  start_ms: 80370\n  end_ms: 80370\n  words:\n  - text: Grande\n    start_ms: 80370\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81210\n  end_ms: 83930\n  words:\n  - text: 'Well, '\n    start_ms: 81210\n  - text: 'there''s '\n    start_ms: 81330\n  - text: 'not '\n    start_ms: 81630\n  - text: 'a '\n    start_ms: 81890\n  - text: 'taco '\n    start_ms: 82050\n  - 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text: 'try '\n    start_ms: 86910\n  - text: 'a '\n    start_ms: 87110\n  - text: 'nacho '\n    start_ms: 87210\n  - text: chip\n    start_ms: 87710\n- text: It's really good with bean dip\n  start_ms: 88530\n  end_ms: 89750\n  words:\n  - text: 'It''s '\n    start_ms: 88530\n  - text: 'really '\n    start_ms: 88670\n  - text: 'good '\n    start_ms: 88930\n  - text: 'with '\n    start_ms: 89070\n  - text: 'bean '\n    start_ms: 89210\n  - text: dip\n    start_ms: 89490\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90280\n  end_ms: 92820\n  words:\n  - text: 'I '\n    start_ms: 90280\n  - text: 'eat '\n    start_ms: 90400\n  - text: 'uno, '\n    start_ms: 90740\n  - text: 'dos, '\n    start_ms: 91120\n  - text: 'tres, '\n    start_ms: 91460\n  - text: 'cuatro '\n    start_ms: 91860\n  - text: burritos\n    start_ms: 92160\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92940\n  end_ms: 94700\n  words:\n  - text: 'Pretty '\n    start_ms: 92940\n  - text: 'soon '\n    start_ms: 93240\n  - text: 'I '\n    start_ms: 93640\n  - text: 'can''t '\n    start_ms: 93780\n  - text: 'fit '\n    start_ms: 94060\n  - text: 'in '\n    start_ms: 94220\n  - text: 'my '\n    start_ms: 94300\n  - text: Speedos\n    start_ms: 94440\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 94790\n  end_ms: 97170\n  words:\n  - text: 'Well, '\n    start_ms: 94790\n  - text: 'I '\n    start_ms: 94970\n  - text: 'hope '\n    start_ms: 95050\n  - text: 'they '\n    start_ms: 95310\n  - text: 'feed '\n    start_ms: 95510\n  - text: 'us '\n    start_ms: 95770\n  - text: 'lots '\n    start_ms: 95870\n  - text: 'of '\n    start_ms: 96050\n  - text: 'chicken '\n    start_ms: 96150\n  - text: fajitas\n    start_ms: 96450\n- text: And a pitcher of margaritas\n  start_ms: 97520\n  end_ms: 99120\n  words:\n  - text: 'And '\n    start_ms: 97520\n  - text: 'a '\n    start_ms: 97700\n  - text: 'pitcher '\n    start_ms: 97820\n  - text: 'of '\n    start_ms: 98200\n  - text: margaritas\n    start_ms: 98240\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 99240\n  end_ms: 101860\n  words:\n  - text: 'Well, '\n    start_ms: 99240\n  - text: 'the '\n    start_ms: 99380\n  - text: 'combination '\n    start_ms: 99520\n  - text: 'plates '\n    start_ms: 100460\n  - text: 'all '\n    start_ms: 100780\n  - text: 'come '\n    start_ms: 100900\n  - text: 'with '\n    start_ms: 101040\n  - text: 'beans '\n    start_ms: 101200\n  - text: 'and '\n    start_ms: 101440\n  - text: rice\n    start_ms: 101620\n- text: The taquitos here are very nice\n  start_ms: 102080\n  end_ms: 103640\n  words:\n  - text: 'The '\n    start_ms: 102080\n  - text: 'taquitos '\n    start_ms: 102200\n  - text: 'here '\n    start_ms: 102780\n  - text: 'are '\n    start_ms: 102920\n  - text: 'very '\n    start_ms: 103040\n  - text: nice\n    start_ms: 103300\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103950\n  end_ms: 106610\n  words:\n  - text: 'Now '\n    start_ms: 103950\n  - text: 'I''m '\n    start_ms: 104110\n  - text: 'down '\n    start_ms: 104210\n  - text: 'on '\n    start_ms: 104390\n  - text: 'my '\n    start_ms: 104510\n  - text: 'knees, '\n    start_ms: 104650\n  - text: 'we '\n    start_ms: 104970\n  - text: 'need '\n    start_ms: 105070\n  - text: 'some '\n    start_ms: 105210\n  - text: 'extra '\n    start_ms: 105390\n  - text: 'tomatoes '\n    start_ms: 105630\n  - text: 'and '\n    start_ms: 106130\n  - text: cheese\n    start_ms: 106310\n- text: And could you make that separate checks, please?\n  start_ms: 106830\n  end_ms: 108570\n  words:\n  - text: 'And '\n    start_ms: 106830\n  - text: 'could '\n    start_ms: 106930\n  - text: 'you '\n    start_ms: 107090\n  - text: 'make '\n    start_ms: 107170\n  - text: 'that '\n    start_ms: 107330\n  - text: 'separate '\n    start_ms: 107470\n  - text: 'checks, '\n    start_ms: 107770\n  - text: please?\n    start_ms: 108050\n- text: Taco\n  start_ms: 112130\n  end_ms: 112630\n  words:\n  - text: Taco\n    start_ms: 112130\n- text: Grande\n  start_ms: 116780\n  end_ms: 117800\n  words:\n  - text: Grande\n    start_ms: 116780\n- text: Taco\n  start_ms: 121150\n  end_ms: 121690\n  words:\n  - text: Taco\n    start_ms: 121150\n- text: Grande\n  start_ms: 125450\n  end_ms: 126290\n  words:\n  - text: Grande\n    start_ms: 125450\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127070\n  end_ms: 130410\n  words:\n  - text: '\"Buenos '\n    start_ms: 127090\n  - text: 'noches, '\n    start_ms: 127350\n  - text: 'señor. '\n    start_ms: 127650\n  - text: 'bienvenido '\n    start_ms: 128190\n  - text: 'a '\n    start_ms: 128770\n  - text: 'Enrico''s '\n    start_ms: 128890\n  - text: 'Casa '\n    start_ms: 129629\n  - text: 'de '\n    start_ms: 129870\n  - text: Salsa\n    start_ms: 130009\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130520\n  end_ms: 132240\n  words:\n  - text: 'Tenemos '\n    start_ms: 130520\n  - text: 'muchos '\n    start_ms: 130839\n  - text: 'platos '\n    start_ms: 131160\n  - text: 'muy '\n    start_ms: 131559\n  - text: sabrosos\n    start_ms: 131779\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132710\n  end_ms: 136551\n  words:\n  - text: 'Si '\n    start_ms: 132710\n  - text: 'puedo '\n    start_ms: 132831\n  - text: 'recomendar '\n    start_ms: 133031\n  - text: 'el '\n    start_ms: 133611\n  - text: 'ardiente '\n    start_ms: 133771\n  - text: 'pollo '\n    start_ms: 134331\n  - text: 'al '\n    start_ms: 134651\n  - text: 'infierno '\n    start_ms: 134791\n  - text: 'muy '\n    start_ms: 135411\n  - text: delicioso\n    start_ms: 135751\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136920\n  end_ms: 139560\n  words:\n  - text: 'Sus '\n    start_ms: 136920\n  - text: 'ojos '\n    start_ms: 137100\n  - text: 'se '\n    start_ms: 137340\n  - text: 'quemarán, '\n    start_ms: 137440\n  - text: 'su '\n    start_ms: 138200\n  - text: 'estomago '\n    start_ms: 138280\n  - text: 'estará '\n    start_ms: 138740\n  - text: 'en '\n    start_ms: 139080\n  - text: fuego\n    start_ms: 139300\n- text: Se quedarán en el baño por una semana\n  start_ms: 139740\n  end_ms: 141580\n  words:\n  - text: 'Se '\n    start_ms: 139740\n  - text: 'quedarán '\n    start_ms: 139860\n  - text: 'en '\n    start_ms: 140260\n  - text: 'el '\n    start_ms: 140360\n  - text: 'baño '\n    start_ms: 140500\n  - text: 'por '\n    start_ms: 140780\n  - text: 'una '\n    start_ms: 140960\n  - text: semana\n    start_ms: 141160\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141960\n  end_ms: 144520\n  words:\n  - text: 'Entiendes '\n    start_ms: 141960\n  - text: 'lo '\n    start_ms: 142380\n  - text: 'que '\n    start_ms: 142500\n  - text: 'digo '\n    start_ms: 142700\n  - text: 'gringo '\n    start_ms: 143120\n  - text: 'estúpido '\n    start_ms: 143460\n  - text: tonto?\"\n    start_ms: 144020\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144820\n  end_ms: 146900\n  words:\n  - text: 'Well, '\n    start_ms: 144820\n  - text: 'the '\n    start_ms: 144960\n  - text: 'food '\n    start_ms: 145080\n  - text: 'is '\n    start_ms: 145300\n  - text: 'coming, '\n    start_ms: 145500\n  - text: 'I '\n    start_ms: 145960\n  - text: 'can '\n    start_ms: 146020\n  - text: 'hardly '\n    start_ms: 146160\n  - text: wait\n    start_ms: 146600\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147420\n  end_ms: 148920\n  words:\n  - text: 'Now '\n    start_ms: 147420\n  - text: 'watch '\n    start_ms: 147540\n  - text: 'your '\n    start_ms: 147720\n  - text: 'fingers, '\n    start_ms: 147820\n  - text: 'careful '\n    start_ms: 148120\n  - text: 'hot '\n    start_ms: 148400\n  - text: plate!\n    start_ms: 148620\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149230\n  end_ms: 151670\n  words:\n  - text: 'What '\n    start_ms: 149230\n  - text: 'you '\n    start_ms: 149410\n  - text: 'think '\n    start_ms: 149510\n  - text: 'you''re '\n    start_ms: 149690\n  - text: 'doing '\n    start_ms: 149990\n  - text: 'with '\n    start_ms: 150350\n  - text: 'my '\n    start_ms: 150470\n  - text: 'chile '\n    start_ms: 150610\n  - text: 'con '\n    start_ms: 150890\n  - text: queso?\n    start_ms: 151170\n- text: Well, if you want some, just say so\n  start_ms: 151920\n  end_ms: 153340\n  words:\n  - text: 'Well, '\n    start_ms: 151920\n  - text: 'if '\n    start_ms: 152100\n  - text: 'you '\n    start_ms: 152220\n  - text: 'want '\n    start_ms: 152320\n  - text: 'some, '\n    start_ms: 152480\n  - text: 'just '\n    start_ms: 152640\n  - text: 'say '\n    start_ms: 152880\n  - text: so\n    start_ms: 153180\n- text: Oh boy, pico de gallo\n  start_ms: 154070\n  end_ms: 156070\n  words:\n  - text: 'Oh '\n    start_ms: 154070\n  - text: 'boy, '\n    start_ms: 154430\n  - text: 'pico '\n    start_ms: 155290\n  - text: 'de '\n    start_ms: 155590\n  - text: gallo\n    start_ms: 155710\n- text: They sure don't make it like this in Ohio\n  start_ms: 156620\n  end_ms: 158530\n  words:\n  - text: 'They '\n    start_ms: 156620\n  - text: 'sure '\n    start_ms: 156718\n  - text: 'don''t '\n    start_ms: 156876\n  - text: 'make '\n    start_ms: 157053\n  - text: 'it '\n    start_ms: 157230\n  - text: 'like '\n    start_ms: 157309\n  - text: 'this '\n    start_ms: 157506\n  - text: 'in '\n    start_ms: 157782\n  - text: Ohio\n    start_ms: 157939\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158530\n  end_ms: 160910\n  words:\n  - text: 'No '\n    start_ms: 158530\n  - text: 'gracias, '\n    start_ms: 158690\n  - text: 'yo '\n    start_ms: 159250\n  - text: 'quiero '\n    start_ms: 159370\n  - text: 'jalepeños, '\n    start_ms: 159670\n  - text: 'nada '\n    start_ms: 160430\n  - text: más\n    start_ms: 160690\n- text: You can toss away the hot sauce\n  start_ms: 161030\n  end_ms: 162490\n  words:\n  - text: 'You '\n    start_ms: 161030\n  - text: 'can '\n    start_ms: 161130\n  - text: 'toss '\n    start_ms: 161290\n  - text: 'away '\n    start_ms: 161630\n  - text: 'the '\n    start_ms: 161850\n  - text: 'hot '\n    start_ms: 161950\n  - text: sauce\n    start_ms: 162230\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162980\n  end_ms: 165350\n  words:\n  - text: '¿Dónde '\n    start_ms: 163039\n  - text: 'están '\n    start_ms: 163313\n  - text: 'los '\n    start_ms: 163607\n  - text: 'nachos? '\n    start_ms: 163881\n  - text: 'Holy '\n    start_ms: 164645\n  - text: frijole!\n    start_ms: 164919\n- text: You better get me a bowl of guacamole\n  start_ms: 165350\n  end_ms: 167090\n  words:\n  - text: 'You '\n    start_ms: 165350\n  - text: 'better '\n    start_ms: 165470\n  - text: 'get '\n    start_ms: 165770\n  - text: 'me '\n    start_ms: 165930\n  - text: 'a '\n    start_ms: 166210\n  - text: 'bowl '\n    start_ms: 166310\n  - text: 'of '\n    start_ms: 166510\n  - text: guacamole\n    start_ms: 166590\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167390\n  end_ms: 169630\n  words:\n  - text: '¿Y '\n    start_ms: 167490\n  - text: 'usted, '\n    start_ms: 167570\n  - text: 'Eugene? '\n    start_ms: 167970\n  - text: 'Why''s '\n    start_ms: 168490\n  - text: 'your '\n    start_ms: 168670\n  - text: 'face '\n    start_ms: 168790\n  - text: 'turning '\n    start_ms: 168990\n  - text: green?\n    start_ms: 169250\n- text: Don't you like pinto bean?\n  start_ms: 170040\n  end_ms: 171440\n  words:\n  - text: 'Don''t '\n    start_ms: 170040\n  - text: 'you '\n    start_ms: 170220\n  - text: 'like '\n    start_ms: 170400\n  - text: 'pinto '\n    start_ms: 170780\n  - text: bean?\n    start_ms: 171080\n- text: You want some more cinnamon crispas?\n  start_ms: 171890\n  end_ms: 174390\n  words:\n  - text: 'You '\n    start_ms: 171890\n  - text: 'want '\n    start_ms: 172150\n  - text: 'some '\n    start_ms: 172450\n  - text: 'more '\n    start_ms: 172650\n  - text: 'cinnamon '\n    start_ms: 173410\n  - text: crispas?\n    start_ms: 173810\n- text: If you don't, hasta la vista\n  start_ms: 174670\n  end_ms: 175830\n  words:\n  - text: 'If '\n    start_ms: 174670\n  - text: 'you '\n    start_ms: 174790\n  - text: 'don''t, '\n    start_ms: 174930\n  - text: 'hasta '\n    start_ms: 175190\n  - text: 'la '\n    start_ms: 175470\n  - text: vista\n    start_ms: 175590\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176080\n  end_ms: 179300\n  words:\n  - text: 'Just '\n    start_ms: 176080\n  - text: 'take '\n    start_ms: 176320\n  - text: 'the '\n    start_ms: 176560\n  - text: 'rest '\n    start_ms: 176860\n  - text: 'home '\n    start_ms: 177140\n  - text: 'in '\n    start_ms: 177500\n  - text: 'a '\n    start_ms: 177660\n  - text: 'doggie '\n    start_ms: 177860\n  - text: 'bag '\n    start_ms: 178420\n  - text: 'if '\n    start_ms: 178720\n  - text: 'you '\n    start_ms: 178860\n  - text: wanna\n    start_ms: 179020\n- text: You can finish it mañana\n  start_ms: 179380\n  end_ms: 180560\n  words:\n  - text: 'You '\n    start_ms: 179380\n  - text: 'can '\n    start_ms: 179500\n  - text: 'finish '\n    start_ms: 179660\n  - text: 'it '\n    start_ms: 179940\n  - text: mañana\n    start_ms: 180060\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180800\n  end_ms: 183100\n  words:\n  - text: 'Well, '\n    start_ms: 180800\n  - text: 'it''s '\n    start_ms: 180980\n  - text: 'been '\n    start_ms: 181200\n  - text: 'a '\n    start_ms: 181420\n  - text: 'pleasure, '\n    start_ms: 181580\n  - text: 'I '\n    start_ms: 182060\n  - text: 'can''t '\n    start_ms: 182160\n  - text: 'eat '\n    start_ms: 182340\n  - text: 'no '\n    start_ms: 182560\n  - text: more\n    start_ms: 182760\n- text: Señor, la cuenta, por favor\n  start_ms: 183430\n  end_ms: 184610\n  words:\n  - text: 'Señor, '\n    start_ms: 183430\n  - text: 'la '\n    start_ms: 183710\n  - text: 'cuenta, '\n    start_ms: 183830\n  - text: 'por '\n    start_ms: 184130\n  - text: favor\n    start_ms: 184290\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185170\n  end_ms: 188360\n  words:\n  - text: 'If '\n    start_ms: 185170\n  - text: 'you '\n    start_ms: 185405\n  - text: 'ain''t '\n    start_ms: 185640\n  - text: 'tried '\n    start_ms: 186286\n  - text: 'real '\n    start_ms: 186638\n  - text: 'Mexican '\n    start_ms: 186892\n  - text: 'cooking, '\n    start_ms: 187440\n  - text: 'well, '\n    start_ms: 187812\n  - text: 'you '\n    start_ms: 187988\n  - text: oughta\n    start_ms: 188145\n- text: Just don't drink the water\n  start_ms: 188360\n  end_ms: 189420\n  words:\n  - text: 'Just '\n    start_ms: 188360\n  - text: 'don''t '\n    start_ms: 188600\n  - text: 'drink '\n    start_ms: 188740\n  - text: 'the '\n    start_ms: 188920\n  - text: water\n    start_ms: 189040\n- text: Taco\n  start_ms: 193560\n  end_ms: 197800\n  words:\n  - text: Taco\n    start_ms: 193560\n- text: Grande\n  start_ms: 198210\n  end_ms: 198770\n  words:\n  - text: Grande\n    start_ms: 198210\n- text: Taco\n  start_ms: 202640\n  end_ms: 206840\n  words:\n  - text: Taco\n    start_ms: 202640\n- text: Grande\n  start_ms: 207320\n  end_ms: 208120\n  words:\n  - text: Grande\n    start_ms: 207320\n- text: Taco\n  start_ms: 211670\n  end_ms: 211690\n  words:\n  - text: Taco\n    start_ms: 211670\n- text: Grande\n  start_ms: 216310\n  end_ms: 216430\n  words:\n  - text: Grande\n    start_ms: 216310\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos\n  Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana\n  Entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":26096217,"name":"43 Taco Grande","trackName":"43 Taco Grande","artistName":"“Weird Al” Yankovic","albumName":"Permanent Record: Al in the Box","duration":226.933333,"instrumental":false,"hasWordSync":false,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos\nSi puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana\nEntiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.28] Taco\n[00:16.50] Grande\n[00:21.10] Taco\n[00:25.46] Grande\n[00:26.93] Yo quiero chimichangas y chile colorado\n[00:29.26] Yo tengo el dinero para un steak picado\n[00:31.52] Las flautas y tamales, siempre muy bueno\n[00:33.95] Y el chile relleno\n[00:35.55] You see, I just gotta have a tostada, carne asada\n[00:38.69] That's right, I want the whole enchilada\n[00:40.57] My only addiction has to do with a flour tortilla\n[00:43.46] I need a quesadilla\n[00:44.77] I love to stuff my face with tacos al carbón\n[00:47.56] With my friends, or when I'm all alone\n[00:49.42] Yo tengo mucho hambre y ahora lo quiero\n[00:51.91] Un burrito ranchero\n[00:54.15] So give me something spicy and hot, now\n[00:56.74] Break out the menu, what you got, now?\n[00:58.78] Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:01.35] You better make sure the beans are refried\n[01:06.89] Taco\n[01:11.02] Grande\n[01:15.89] Taco\n[01:20.33] Grande\n[01:21.28] Well, there's not a taco big enough for a man like me\n[01:23.95] That's why I order two or three\n[01:25.73] Let me give you a tip, just try a nacho chip\n[01:28.57] It's really good with bean dip\n[01:30.27] I eat uno, dos, tres, cuatro burritos\n[01:32.95] Pretty soon I can't fit in my Speedos\n[01:34.76] Well, I hope they feed us lots of chicken fajitas\n[01:37.56] And a pitcher of margaritas\n[01:39.25] Well, the combination plates all come with beans and rice\n[01:42.06] The taquitos here are very nice\n[01:43.92] Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:46.89] And could you make that separate checks, please?\n[01:52.13] Taco\n[01:56.75] Grande\n[02:01.14] Taco\n[02:05.48] Grande\n[02:07.03] \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:10.52] Tenemos muchos platos muy sabrosos\n[02:12.74] Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:16.90] Sus ojos se quemarán, su estomago estará en fuego\n[02:19.78] Se quedarán en el baño por una semana\n[02:21.97] Entiendes lo que digo gringo estúpido tonto?\"\n[02:24.82] Well, the food is coming, I can hardly wait\n[02:27.43] Now watch your fingers, careful hot plate!\n[02:29.22] What you think you're doing with my chile con queso?\n[02:31.92] Well, if you want some, just say so\n[02:34.09] Oh boy, pico de gallo\n[02:36.61] They sure don't make it like this in Ohio\n[02:38.53] No gracias, yo quiero jalepeños, nada más\n[02:41.07] You can toss away the hot sauce\n[02:42.95] ¿Dónde están los nachos? Holy frijole!\n[02:45.32] You better get me a bowl of guacamole\n[02:47.32] ¿Y usted, Eugene? Why's your face turning green?\n[02:50.08] Don't you like pinto bean?\n[02:51.89] You want some more cinnamon crispas?\n[02:54.60] If you don't, hasta la vista\n[02:56.03] Just take the rest home in a doggie bag if you wanna\n[02:59.36] You can finish it mañana\n[03:00.86] Well, it's been a pleasure, I can't eat no more\n[03:03.49] Señor, la cuenta, por favor\n[03:05.12] If you ain't tried real Mexican cooking, well, you oughta\n[03:08.38] Just don't drink the water\n[03:13.58] Taco\n[03:18.26] Grande\n[03:22.63] Taco\n[03:27.33] Grande\n[03:31.64] Taco\n[03:36.37] Grande\n[03:37.95] ","lyricsfile":"version: '1.0'\nmetadata:\n  title: 43 Taco Grande\n  artist: “Weird Al” Yankovic\n  album: 'Permanent Record: Al in the Box'\n  duration_ms: 226933\n  instrumental: false\nlines:\n- text: Taco\n  start_ms: 12280\n  end_ms: 16500\n- text: Grande\n  start_ms: 16500\n  end_ms: 21100\n- text: Taco\n  start_ms: 21100\n  end_ms: 25460\n- text: Grande\n  start_ms: 25460\n  end_ms: 26930\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26930\n  end_ms: 29260\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29260\n  end_ms: 31520\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31520\n  end_ms: 33950\n- text: Y el chile relleno\n  start_ms: 33950\n  end_ms: 35550\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35550\n  end_ms: 38690\n- text: That's right, I want the whole enchilada\n  start_ms: 38690\n  end_ms: 40570\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40570\n  end_ms: 43460\n- text: I need a quesadilla\n  start_ms: 43460\n  end_ms: 44770\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44770\n  end_ms: 47560\n- text: With my friends, or when I'm all alone\n  start_ms: 47560\n  end_ms: 49420\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49420\n  end_ms: 51910\n- text: Un burrito ranchero\n  start_ms: 51910\n  end_ms: 54150\n- text: So give me something spicy and hot, now\n  start_ms: 54150\n  end_ms: 56740\n- text: Break out the menu, what you got, now?\n  start_ms: 56740\n  end_ms: 58780\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 58780\n  end_ms: 61350\n- text: You better make sure the beans are refried\n  start_ms: 61350\n  end_ms: 66890\n- text: Taco\n  start_ms: 66890\n  end_ms: 71020\n- text: Grande\n  start_ms: 71020\n  end_ms: 75890\n- text: Taco\n  start_ms: 75890\n  end_ms: 80330\n- text: Grande\n  start_ms: 80330\n  end_ms: 81280\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81280\n  end_ms: 83950\n- text: That's why I order two or three\n  start_ms: 83950\n  end_ms: 85730\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 85730\n  end_ms: 88570\n- text: It's really good with bean dip\n  start_ms: 88570\n  end_ms: 90270\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90270\n  end_ms: 92950\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92950\n  end_ms: 94760\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 94760\n  end_ms: 97560\n- text: And a pitcher of margaritas\n  start_ms: 97560\n  end_ms: 99250\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 99250\n  end_ms: 102060\n- text: The taquitos here are very nice\n  start_ms: 102060\n  end_ms: 103920\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103920\n  end_ms: 106890\n- text: And could you make that separate checks, please?\n  start_ms: 106890\n  end_ms: 112130\n- text: Taco\n  start_ms: 112130\n  end_ms: 116750\n- text: Grande\n  start_ms: 116750\n  end_ms: 121140\n- text: Taco\n  start_ms: 121140\n  end_ms: 125480\n- text: Grande\n  start_ms: 125480\n  end_ms: 127030\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127030\n  end_ms: 130520\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130520\n  end_ms: 132740\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132740\n  end_ms: 136900\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136900\n  end_ms: 139780\n- text: Se quedarán en el baño por una semana\n  start_ms: 139780\n  end_ms: 141970\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141970\n  end_ms: 144820\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144820\n  end_ms: 147430\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147430\n  end_ms: 149220\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149220\n  end_ms: 151920\n- text: Well, if you want some, just say so\n  start_ms: 151920\n  end_ms: 154090\n- text: Oh boy, pico de gallo\n  start_ms: 154090\n  end_ms: 156610\n- text: They sure don't make it like this in Ohio\n  start_ms: 156610\n  end_ms: 158530\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158530\n  end_ms: 161070\n- text: You can toss away the hot sauce\n  start_ms: 161070\n  end_ms: 162950\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162950\n  end_ms: 165320\n- text: You better get me a bowl of guacamole\n  start_ms: 165320\n  end_ms: 167320\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167320\n  end_ms: 170080\n- text: Don't you like pinto bean?\n  start_ms: 170080\n  end_ms: 171890\n- text: You want some more cinnamon crispas?\n  start_ms: 171890\n  end_ms: 174600\n- text: If you don't, hasta la vista\n  start_ms: 174600\n  end_ms: 176030\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176030\n  end_ms: 179360\n- text: You can finish it mañana\n  start_ms: 179360\n  end_ms: 180860\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180860\n  end_ms: 183490\n- text: Señor, la cuenta, por favor\n  start_ms: 183490\n  end_ms: 185120\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185120\n  end_ms: 188380\n- text: Just don't drink the water\n  start_ms: 188380\n  end_ms: 193580\n- text: Taco\n  start_ms: 193580\n  end_ms: 198260\n- text: Grande\n  start_ms: 198260\n  end_ms: 202630\n- text: Taco\n  start_ms: 202630\n  end_ms: 207330\n- text: Grande\n  start_ms: 207330\n  end_ms: 211640\n- text: Taco\n  start_ms: 211640\n  end_ms: 216370\n- text: Grande\n  start_ms: 216370\n  end_ms: 217950\n- text: ''\n  start_ms: 217950\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos\n  Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana\n  Entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":3189365,"name":"Taco Grande","trackName":"Taco Grande","artistName":"Weird Al Yankovic","albumName":"The Food Album","duration":228.0,"instrumental":false,"hasWordSync":true,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:08.91] Taco\n[00:15.34] Grande\n[00:20.80] Taco\n[00:24.77] Grande\n[00:26.96] Yo quiero chimichangas y chile colorado\n[00:28.87] Yo tengo el dinero para un steak picado\n[00:31.27] Las flautas y tamales, siempre muy bueno\n[00:33.23] Y el chile relleno\n[00:35.20] You see, I just gotta have a tostada, carne asada\n[00:38.23] That's right, I want the whole enchilada\n[00:40.00] My only addiction has to do with a flour tortilla\n[00:42.82] I need a quesadilla\n[00:44.63] I love to stuff my face with tacos al carbón\n[00:46.74] With my friends, or when I'm all alone\n[00:49.44] Yo tengo mucho hambre y ahora lo quiero\n[00:51.41] Un burrito ranchero\n[00:53.46] So give me something spicy and hot, now\n[00:55.98] Break out the menu, what you got, now?\n[00:57.76] Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:00.79] You better make sure the beans are refried\n[01:02.57] Taco\n[01:08.35] Grande\n[01:11.68] Taco\n[01:17.64] Grande\n[01:20.12] Well, there's not a taco big enough for a man like me\n[01:23.02] That's why I order two or three\n[01:24.68] Let me give you a tip, just try a nacho chip\n[01:26.97] It's really good with bean dip\n[01:28.94] I eat uno, dos, tres, cuatro burritos\n[01:31.56] Pretty soon I can't fit in my Speedos\n[01:33.85] Well, I hope they feed us lots of chicken fajitas\n[01:36.24] And a pitcher of margaritas\n[01:38.00] Well, the combination plates all come with beans and rice\n[01:40.96] The taquitos here are very nice\n[01:42.51] Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:45.47] And could you make that separate checks, please?\n[01:48.33] Taco\n[01:53.68] Grande\n[01:57.91] Taco\n[02:02.54] Grande\n[02:05.42] \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:08.91] Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:14.96] Sus ojos se quemarán, su estomago estará en fuego\n[02:17.76] Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n[02:22.75] Well, the food is coming, I can hardly wait\n[02:24.92] Now watch your fingers, careful hot plate!\n[02:27.27] What you think you're doing with my chile con queso?\n[02:29.82] Well, if you want some, just say so\n[02:31.69] Oh boy, pico de gallo\n[02:34.13] They sure don't make it like this in Ohio\n[02:36.42] No gracias, yo quiero jalepeños, nada más\n[02:39.07] You can toss away the hot sauce\n[02:40.89] ¿Dónde están los nachos? Holy frijole!\n[02:42.90] You better get me a bowl of guacamole\n[02:45.21] ¿Y usted, Eugene? Why's your face turning green?\n[02:47.52] Don't you like pinto bean?\n[02:49.42] You want some more cinnamon crispas?\n[02:52.10] If you don't, hasta la vista\n[02:53.79] Just take the rest home in a doggie bag if you wanna\n[02:57.06] You can finish it mañana\n[02:58.56] Well, it's been a pleasure, I can't eat no more\n[03:00.84] Señor, la cuenta, por favor\n[03:02.81] If you ain't tried real Mexican cooking, well, you oughta\n[03:06.47] Just don't drink the water\n[03:10.01] Taco\n[03:14.82] Grande\n[03:19.04] Taco\n[03:23.24] Grande\n[03:27.91] Taco\n[03:32.85] Grande\n[03:37.08] ","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: Weird Al Yankovic\n  album: The Food Album\n  duration_ms: 228000\n  instrumental: false\n  language: en\nlines:\n- text: Taco\n  start_ms: 12240\n  end_ms: 12720\n  words:\n  - text: Taco\n    start_ms: 12240\n- text: Grande\n  start_ms: 16500\n  end_ms: 16500\n  words:\n  - text: Grande\n    start_ms: 16500\n- text: Taco\n  start_ms: 21190\n  end_ms: 21250\n  words:\n  - text: Taco\n    start_ms: 21190\n- text: Grande\n  start_ms: 25420\n  end_ms: 26380\n  words:\n  - text: Grande\n    start_ms: 25420\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26980\n  end_ms: 29060\n  words:\n  - text: 'Yo '\n    start_ms: 26980\n  - text: 'quiero '\n    start_ms: 27100\n  - text: 'chimichangas '\n    start_ms: 27380\n  - text: 'y '\n    start_ms: 28140\n  - text: 'chile '\n    start_ms: 28220\n  - text: colorado\n    start_ms: 28540\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29250\n  end_ms: 31310\n  words:\n  - text: 'Yo '\n    start_ms: 29250\n  - text: 'tengo '\n    start_ms: 29370\n  - text: 'el '\n    start_ms: 29710\n  - text: 'dinero '\n    start_ms: 29830\n  - text: 'para '\n    start_ms: 30330\n  - text: 'un '\n    start_ms: 30570\n  - text: 'steak '\n    start_ms: 30690\n  - text: picado\n    start_ms: 30910\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31520\n  end_ms: 33720\n  words:\n  - text: 'Las '\n    start_ms: 31520\n  - text: 'flautas '\n    start_ms: 31660\n  - text: 'y '\n    start_ms: 32000\n  - text: 'tamales, '\n    start_ms: 32120\n  - text: 'siempre '\n    start_ms: 32659\n  - text: 'muy '\n    start_ms: 33100\n  - text: bueno\n    start_ms: 33320\n- text: Y el chile relleno\n  start_ms: 33910\n  end_ms: 35210\n  words:\n  - text: 'Y '\n    start_ms: 33910\n  - text: 'el '\n    start_ms: 34010\n  - text: 'chile '\n    start_ms: 34130\n  - text: relleno\n    start_ms: 34590\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35520\n  end_ms: 38400\n  words:\n  - text: 'You '\n    start_ms: 35520\n  - text: 'see, '\n    start_ms: 35620\n  - text: 'I '\n    start_ms: 35980\n  - text: 'just '\n    start_ms: 36120\n  - text: 'gotta '\n    start_ms: 36360\n  - text: 'have '\n    start_ms: 36760\n  - text: 'a '\n    start_ms: 36920\n  - text: 'tostada, '\n    start_ms: 37020\n  - text: 'carne '\n    start_ms: 37560\n  - text: asada\n    start_ms: 37940\n- text: That's right, I want the whole enchilada\n  start_ms: 38690\n  end_ms: 40230\n  words:\n  - text: 'That''s '\n    start_ms: 38690\n  - text: 'right, '\n    start_ms: 38890\n  - text: 'I '\n    start_ms: 39070\n  - text: 'want '\n    start_ms: 39130\n  - text: 'the '\n    start_ms: 39290\n  - text: 'whole '\n    start_ms: 39390\n  - text: enchilada\n    start_ms: 39610\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40570\n  end_ms: 43190\n  words:\n  - text: 'My '\n    start_ms: 40570\n  - text: 'only '\n    start_ms: 40750\n  - text: 'addiction '\n    start_ms: 41030\n  - text: 'has '\n    start_ms: 41530\n  - text: 'to '\n    start_ms: 41690\n  - text: 'do '\n    start_ms: 41830\n  - text: 'with '\n    start_ms: 41970\n  - text: 'a '\n    start_ms: 42070\n  - text: 'flour '\n    start_ms: 42190\n  - text: tortilla\n    start_ms: 42510\n- text: I need a quesadilla\n  start_ms: 43450\n  end_ms: 44550\n  words:\n  - text: 'I '\n    start_ms: 43450\n  - text: 'need '\n    start_ms: 43530\n  - text: 'a '\n    start_ms: 43710\n  - text: quesadilla\n    start_ms: 43810\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44740\n  end_ms: 47040\n  words:\n  - text: 'I '\n    start_ms: 44740\n  - text: 'love '\n    start_ms: 44800\n  - text: 'to '\n    start_ms: 44960\n  - text: 'stuff '\n    start_ms: 45080\n  - text: 'my '\n    start_ms: 45300\n  - text: 'face '\n    start_ms: 45540\n  - text: 'with '\n    start_ms: 45820\n  - text: 'tacos '\n    start_ms: 45960\n  - text: 'al '\n    start_ms: 46280\n  - text: carbón\n    start_ms: 46420\n- text: With my friends, or when I'm all alone\n  start_ms: 47510\n  end_ms: 49010\n  words:\n  - text: 'With '\n    start_ms: 47510\n  - text: 'my '\n    start_ms: 47630\n  - text: 'friends, '\n    start_ms: 47790\n  - text: 'or '\n    start_ms: 48110\n  - text: 'when '\n    start_ms: 48210\n  - text: 'I''m '\n    start_ms: 48390\n  - text: 'all '\n    start_ms: 48530\n  - text: alone\n    start_ms: 48670\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49450\n  end_ms: 51900\n  words:\n  - text: 'Yo '\n    start_ms: 49450\n  - text: 'tengo '\n    start_ms: 49567\n  - text: 'mucho '\n    start_ms: 49839\n  - text: 'hambre '\n    start_ms: 50306\n  - text: 'y '\n    start_ms: 50714\n  - text: 'ahora '\n    start_ms: 50831\n  - text: 'lo '\n    start_ms: 51161\n  - text: quiero\n    start_ms: 51453\n- text: Un burrito ranchero\n  start_ms: 51900\n  end_ms: 53300\n  words:\n  - text: 'Un '\n    start_ms: 51900\n  - text: 'burrito '\n    start_ms: 52020\n  - text: ranchero\n    start_ms: 52560\n- text: So give me something spicy and hot, now\n  start_ms: 54180\n  end_ms: 56680\n  words:\n  - text: 'So '\n    start_ms: 54180\n  - text: 'give '\n    start_ms: 54480\n  - text: 'me '\n    start_ms: 54760\n  - text: 'something '\n    start_ms: 55000\n  - text: 'spicy '\n    start_ms: 55440\n  - text: 'and '\n    start_ms: 55920\n  - text: 'hot, '\n    start_ms: 56120\n  - text: now\n    start_ms: 56420\n- text: Break out the menu, what you got, now?\n  start_ms: 56760\n  end_ms: 58280\n  words:\n  - text: 'Break '\n    start_ms: 56760\n  - text: 'out '\n    start_ms: 56960\n  - text: 'the '\n    start_ms: 57080\n  - text: 'menu, '\n    start_ms: 57200\n  - text: 'what '\n    start_ms: 57480\n  - text: 'you '\n    start_ms: 57660\n  - text: 'got, '\n    start_ms: 57780\n  - text: now?\n    start_ms: 58060\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 58780\n  end_ms: 61340\n  words:\n  - text: 'Oh, '\n    start_ms: 58780\n  - text: 'would '\n    start_ms: 58891\n  - text: 'you '\n    start_ms: 59040\n  - text: 'tell '\n    start_ms: 59151\n  - text: 'the '\n    start_ms: 59299\n  - text: 'waiter '\n    start_ms: 59411\n  - text: 'I''d '\n    start_ms: 59745\n  - text: 'like '\n    start_ms: 59893\n  - text: 'to '\n    start_ms: 60023\n  - text: 'have '\n    start_ms: 60171\n  - text: 'sour '\n    start_ms: 60338\n  - text: 'cream '\n    start_ms: 60579\n  - text: 'on '\n    start_ms: 60858\n  - text: 'the '\n    start_ms: 60932\n  - text: side\n    start_ms: 61080\n- text: You better make sure the beans are refried\n  start_ms: 61340\n  end_ms: 62840\n  words:\n  - text: 'You '\n    start_ms: 61340\n  - text: 'better '\n    start_ms: 61420\n  - text: 'make '\n    start_ms: 61560\n  - text: 'sure '\n    start_ms: 61700\n  - text: 'the '\n    start_ms: 61880\n  - text: 'beans '\n    start_ms: 61980\n  - text: 'are '\n    start_ms: 62200\n  - text: refried\n    start_ms: 62320\n- text: Taco\n  start_ms: 66880\n  end_ms: 67380\n  words:\n  - text: Taco\n    start_ms: 66880\n- text: Grande\n  start_ms: 71020\n  end_ms: 71860\n  words:\n  - text: Grande\n    start_ms: 71020\n- text: Taco\n  start_ms: 75850\n  end_ms: 76390\n  words:\n  - text: Taco\n    start_ms: 75850\n- text: Grande\n  start_ms: 80370\n  end_ms: 80370\n  words:\n  - text: Grande\n    start_ms: 80370\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81210\n  end_ms: 83930\n  words:\n  - text: 'Well, '\n    start_ms: 81210\n  - text: 'there''s '\n    start_ms: 81330\n  - text: 'not '\n    start_ms: 81630\n  - text: 'a '\n    start_ms: 81890\n  - text: 'taco '\n    start_ms: 82050\n  - 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text: 'try '\n    start_ms: 86910\n  - text: 'a '\n    start_ms: 87110\n  - text: 'nacho '\n    start_ms: 87210\n  - text: chip\n    start_ms: 87710\n- text: It's really good with bean dip\n  start_ms: 88530\n  end_ms: 89750\n  words:\n  - text: 'It''s '\n    start_ms: 88530\n  - text: 'really '\n    start_ms: 88670\n  - text: 'good '\n    start_ms: 88930\n  - text: 'with '\n    start_ms: 89070\n  - text: 'bean '\n    start_ms: 89210\n  - text: dip\n    start_ms: 89490\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90280\n  end_ms: 92820\n  words:\n  - text: 'I '\n    start_ms: 90280\n  - text: 'eat '\n    start_ms: 90400\n  - text: 'uno, '\n    start_ms: 90740\n  - text: 'dos, '\n    start_ms: 91120\n  - text: 'tres, '\n    start_ms: 91460\n  - text: 'cuatro '\n    start_ms: 91860\n  - text: burritos\n    start_ms: 92160\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92940\n  end_ms: 94700\n  words:\n  - text: 'Pretty '\n    start_ms: 92940\n  - text: 'soon '\n    start_ms: 93240\n  - text: 'I '\n    start_ms: 93640\n  - text: 'can''t '\n    start_ms: 93780\n  - text: 'fit '\n    start_ms: 94060\n  - text: 'in '\n    start_ms: 94220\n  - text: 'my '\n    start_ms: 94300\n  - text: Speedos\n    start_ms: 94440\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 94790\n  end_ms: 97170\n  words:\n  - text: 'Well, '\n    start_ms: 94790\n  - text: 'I '\n    start_ms: 94970\n  - text: 'hope '\n    start_ms: 95050\n  - text: 'they '\n    start_ms: 95310\n  - text: 'feed '\n    start_ms: 95510\n  - text: 'us '\n    start_ms: 95770\n  - text: 'lots '\n    start_ms: 95870\n  - text: 'of '\n    start_ms: 96050\n  - text: 'chicken '\n    start_ms: 96150\n  - text: fajitas\n    start_ms: 96450\n- text: And a pitcher of margaritas\n  start_ms: 97520\n  end_ms: 99120\n  words:\n  - text: 'And '\n    start_ms: 97520\n  - text: 'a '\n    start_ms: 97700\n  - text: 'pitcher '\n    start_ms: 97820\n  - text: 'of '\n    start_ms: 98200\n  - text: margaritas\n    start_ms: 98240\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 99240\n  end_ms: 101860\n  words:\n  - text: 'Well, '\n    start_ms: 99240\n  - text: 'the '\n    start_ms: 99380\n  - text: 'combination '\n    start_ms: 99520\n  - text: 'plates '\n    start_ms: 100460\n  - text: 'all '\n    start_ms: 100780\n  - text: 'come '\n    start_ms: 100900\n  - text: 'with '\n    start_ms: 101040\n  - text: 'beans '\n    start_ms: 101200\n  - text: 'and '\n    start_ms: 101440\n  - text: rice\n    start_ms: 101620\n- text: The taquitos here are very nice\n  start_ms: 102080\n  end_ms: 103640\n  words:\n  - text: 'The '\n    start_ms: 102080\n  - text: 'taquitos '\n    start_ms: 102200\n  - text: 'here '\n    start_ms: 102780\n  - text: 'are '\n    start_ms: 102920\n  - text: 'very '\n    start_ms: 103040\n  - text: nice\n    start_ms: 103300\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103950\n  end_ms: 106610\n  words:\n  - text: 'Now '\n    start_ms: 103950\n  - text: 'I''m '\n    start_ms: 104110\n  - text: 'down '\n    start_ms: 104210\n  - text: 'on '\n    start_ms: 104390\n  - text: 'my '\n    start_ms: 104510\n  - text: 'knees, '\n    start_ms: 104650\n  - text: 'we '\n    start_ms: 104970\n  - text: 'need '\n    start_ms: 105070\n  - text: 'some '\n    start_ms: 105210\n  - text: 'extra '\n    start_ms: 105390\n  - text: 'tomatoes '\n    start_ms: 105630\n  - text: 'and '\n    start_ms: 106130\n  - text: cheese\n    start_ms: 106310\n- text: And could you make that separate checks, please?\n  start_ms: 106830\n  end_ms: 108570\n  words:\n  - text: 'And '\n    start_ms: 106830\n  - text: 'could '\n    start_ms: 106930\n  - text: 'you '\n    start_ms: 107090\n  - text: 'make '\n    start_ms: 107170\n  - text: 'that '\n    start_ms: 107330\n  - text: 'separate '\n    start_ms: 107470\n  - text: 'checks, '\n    start_ms: 107770\n  - text: please?\n    start_ms: 108050\n- text: Taco\n  start_ms: 112130\n  end_ms: 112630\n  words:\n  - text: Taco\n    start_ms: 112130\n- text: Grande\n  start_ms: 116780\n  end_ms: 117800\n  words:\n  - text: Grande\n    start_ms: 116780\n- text: Taco\n  start_ms: 121150\n  end_ms: 121690\n  words:\n  - text: Taco\n    start_ms: 121150\n- text: Grande\n  start_ms: 125450\n  end_ms: 126290\n  words:\n  - text: Grande\n    start_ms: 125450\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127070\n  end_ms: 130410\n  words:\n  - text: '\"Buenos '\n    start_ms: 127090\n  - text: 'noches, '\n    start_ms: 127350\n  - text: 'señor. '\n    start_ms: 127650\n  - text: 'bienvenido '\n    start_ms: 128190\n  - text: 'a '\n    start_ms: 128770\n  - text: 'Enrico''s '\n    start_ms: 128890\n  - text: 'Casa '\n    start_ms: 129629\n  - text: 'de '\n    start_ms: 129870\n  - text: Salsa\n    start_ms: 130009\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130520\n  end_ms: 132240\n  words:\n  - text: 'Tenemos '\n    start_ms: 130520\n  - text: 'muchos '\n    start_ms: 130839\n  - text: 'platos '\n    start_ms: 131160\n  - text: 'muy '\n    start_ms: 131559\n  - text: sabrosos\n    start_ms: 131779\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132710\n  end_ms: 136551\n  words:\n  - text: 'Si '\n    start_ms: 132710\n  - text: 'puedo '\n    start_ms: 132831\n  - text: 'recomendar '\n    start_ms: 133031\n  - text: 'el '\n    start_ms: 133611\n  - text: 'ardiente '\n    start_ms: 133771\n  - text: 'pollo '\n    start_ms: 134331\n  - text: 'al '\n    start_ms: 134651\n  - text: 'infierno '\n    start_ms: 134791\n  - text: 'muy '\n    start_ms: 135411\n  - text: delicioso\n    start_ms: 135751\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136920\n  end_ms: 139560\n  words:\n  - text: 'Sus '\n    start_ms: 136920\n  - text: 'ojos '\n    start_ms: 137100\n  - text: 'se '\n    start_ms: 137340\n  - text: 'quemarán, '\n    start_ms: 137440\n  - text: 'su '\n    start_ms: 138200\n  - text: 'estomago '\n    start_ms: 138280\n  - text: 'estará '\n    start_ms: 138740\n  - text: 'en '\n    start_ms: 139080\n  - text: fuego\n    start_ms: 139300\n- text: Se quedarán en el baño por una semana\n  start_ms: 139740\n  end_ms: 141580\n  words:\n  - text: 'Se '\n    start_ms: 139740\n  - text: 'quedarán '\n    start_ms: 139860\n  - text: 'en '\n    start_ms: 140260\n  - text: 'el '\n    start_ms: 140360\n  - text: 'baño '\n    start_ms: 140500\n  - text: 'por '\n    start_ms: 140780\n  - text: 'una '\n    start_ms: 140960\n  - text: semana\n    start_ms: 141160\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141960\n  end_ms: 144520\n  words:\n  - text: 'Entiendes '\n    start_ms: 141960\n  - text: 'lo '\n    start_ms: 142380\n  - text: 'que '\n    start_ms: 142500\n  - text: 'digo '\n    start_ms: 142700\n  - text: 'gringo '\n    start_ms: 143120\n  - text: 'estúpido '\n    start_ms: 143460\n  - text: tonto?\"\n    start_ms: 144020\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144820\n  end_ms: 146900\n  words:\n  - text: 'Well, '\n    start_ms: 144820\n  - text: 'the '\n    start_ms: 144960\n  - text: 'food '\n    start_ms: 145080\n  - text: 'is '\n    start_ms: 145300\n  - text: 'coming, '\n    start_ms: 145500\n  - text: 'I '\n    start_ms: 145960\n  - text: 'can '\n    start_ms: 146020\n  - text: 'hardly '\n    start_ms: 146160\n  - text: wait\n    start_ms: 146600\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147420\n  end_ms: 148920\n  words:\n  - text: 'Now '\n    start_ms: 147420\n  - text: 'watch '\n    start_ms: 147540\n  - text: 'your '\n    start_ms: 147720\n  - text: 'fingers, '\n    start_ms: 147820\n  - text: 'careful '\n    start_ms: 148120\n  - text: 'hot '\n    start_ms: 148400\n  - text: plate!\n    start_ms: 148620\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149230\n  end_ms: 151670\n  words:\n  - text: 'What '\n    start_ms: 149230\n  - text: 'you '\n    start_ms: 149410\n  - text: 'think '\n    start_ms: 149510\n  - text: 'you''re '\n    start_ms: 149690\n  - text: 'doing '\n    start_ms: 149990\n  - text: 'with '\n    start_ms: 150350\n  - text: 'my '\n    start_ms: 150470\n  - text: 'chile '\n    start_ms: 150610\n  - text: 'con '\n    start_ms: 150890\n  - text: queso?\n    start_ms: 151170\n- text: Well, if you want some, just say so\n  start_ms: 151920\n  end_ms: 153340\n  words:\n  - text: 'Well, '\n    start_ms: 151920\n  - text: 'if '\n    start_ms: 152100\n  - text: 'you '\n    start_ms: 152220\n  - text: 'want '\n    start_ms: 152320\n  - text: 'some, '\n    start_ms: 152480\n  - text: 'just '\n    start_ms: 152640\n  - text: 'say '\n    start_ms: 152880\n  - text: so\n    start_ms: 153180\n- text: Oh boy, pico de gallo\n  start_ms: 154070\n  end_ms: 156070\n  words:\n  - text: 'Oh '\n    start_ms: 154070\n  - text: 'boy, '\n    start_ms: 154430\n  - text: 'pico '\n    start_ms: 155290\n  - text: 'de '\n    start_ms: 155590\n  - text: gallo\n    start_ms: 155710\n- text: They sure don't make it like this in Ohio\n  start_ms: 156620\n  end_ms: 158530\n  words:\n  - text: 'They '\n    start_ms: 156620\n  - text: 'sure '\n    start_ms: 156718\n  - text: 'don''t '\n    start_ms: 156876\n  - text: 'make '\n    start_ms: 157053\n  - text: 'it '\n    start_ms: 157230\n  - text: 'like '\n    start_ms: 157309\n  - text: 'this '\n    start_ms: 157506\n  - text: 'in '\n    start_ms: 157782\n  - text: Ohio\n    start_ms: 157939\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158530\n  end_ms: 160910\n  words:\n  - text: 'No '\n    start_ms: 158530\n  - text: 'gracias, '\n    start_ms: 158690\n  - text: 'yo '\n    start_ms: 159250\n  - text: 'quiero '\n    start_ms: 159370\n  - text: 'jalepeños, '\n    start_ms: 159670\n  - text: 'nada '\n    start_ms: 160430\n  - text: más\n    start_ms: 160690\n- text: You can toss away the hot sauce\n  start_ms: 161030\n  end_ms: 162490\n  words:\n  - text: 'You '\n    start_ms: 161030\n  - text: 'can '\n    start_ms: 161130\n  - text: 'toss '\n    start_ms: 161290\n  - text: 'away '\n    start_ms: 161630\n  - text: 'the '\n    start_ms: 161850\n  - text: 'hot '\n    start_ms: 161950\n  - text: sauce\n    start_ms: 162230\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162980\n  end_ms: 165350\n  words:\n  - text: '¿Dónde '\n    start_ms: 163039\n  - text: 'están '\n    start_ms: 163313\n  - text: 'los '\n    start_ms: 163607\n  - text: 'nachos? '\n    start_ms: 163881\n  - text: 'Holy '\n    start_ms: 164645\n  - text: frijole!\n    start_ms: 164919\n- text: You better get me a bowl of guacamole\n  start_ms: 165350\n  end_ms: 167090\n  words:\n  - text: 'You '\n    start_ms: 165350\n  - text: 'better '\n    start_ms: 165470\n  - text: 'get '\n    start_ms: 165770\n  - text: 'me '\n    start_ms: 165930\n  - text: 'a '\n    start_ms: 166210\n  - text: 'bowl '\n    start_ms: 166310\n  - text: 'of '\n    start_ms: 166510\n  - text: guacamole\n    start_ms: 166590\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167390\n  end_ms: 169630\n  words:\n  - text: '¿Y '\n    start_ms: 167490\n  - text: 'usted, '\n    start_ms: 167570\n  - text: 'Eugene? '\n    start_ms: 167970\n  - text: 'Why''s '\n    start_ms: 168490\n  - text: 'your '\n    start_ms: 168670\n  - text: 'face '\n    start_ms: 168790\n  - text: 'turning '\n    start_ms: 168990\n  - text: green?\n    start_ms: 169250\n- text: Don't you like pinto bean?\n  start_ms: 170040\n  end_ms: 171440\n  words:\n  - text: 'Don''t '\n    start_ms: 170040\n  - text: 'you '\n    start_ms: 170220\n  - text: 'like '\n    start_ms: 170400\n  - text: 'pinto '\n    start_ms: 170780\n  - text: bean?\n    start_ms: 171080\n- text: You want some more cinnamon crispas?\n  start_ms: 171890\n  end_ms: 174390\n  words:\n  - text: 'You '\n    start_ms: 171890\n  - text: 'want '\n    start_ms: 172150\n  - text: 'some '\n    start_ms: 172450\n  - text: 'more '\n    start_ms: 172650\n  - text: 'cinnamon '\n    start_ms: 173410\n  - text: crispas?\n    start_ms: 173810\n- text: If you don't, hasta la vista\n  start_ms: 174670\n  end_ms: 175830\n  words:\n  - text: 'If '\n    start_ms: 174670\n  - text: 'you '\n    start_ms: 174790\n  - text: 'don''t, '\n    start_ms: 174930\n  - text: 'hasta '\n    start_ms: 175190\n  - text: 'la '\n    start_ms: 175470\n  - text: vista\n    start_ms: 175590\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176080\n  end_ms: 179300\n  words:\n  - text: 'Just '\n    start_ms: 176080\n  - text: 'take '\n    start_ms: 176320\n  - text: 'the '\n    start_ms: 176560\n  - text: 'rest '\n    start_ms: 176860\n  - text: 'home '\n    start_ms: 177140\n  - text: 'in '\n    start_ms: 177500\n  - text: 'a '\n    start_ms: 177660\n  - text: 'doggie '\n    start_ms: 177860\n  - text: 'bag '\n    start_ms: 178420\n  - text: 'if '\n    start_ms: 178720\n  - text: 'you '\n    start_ms: 178860\n  - text: wanna\n    start_ms: 179020\n- text: You can finish it mañana\n  start_ms: 179380\n  end_ms: 180560\n  words:\n  - text: 'You '\n    start_ms: 179380\n  - text: 'can '\n    start_ms: 179500\n  - text: 'finish '\n    start_ms: 179660\n  - text: 'it '\n    start_ms: 179940\n  - text: mañana\n    start_ms: 180060\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180800\n  end_ms: 183100\n  words:\n  - text: 'Well, '\n    start_ms: 180800\n  - text: 'it''s '\n    start_ms: 180980\n  - text: 'been '\n    start_ms: 181200\n  - text: 'a '\n    start_ms: 181420\n  - text: 'pleasure, '\n    start_ms: 181580\n  - text: 'I '\n    start_ms: 182060\n  - text: 'can''t '\n    start_ms: 182160\n  - text: 'eat '\n    start_ms: 182340\n  - text: 'no '\n    start_ms: 182560\n  - text: more\n    start_ms: 182760\n- text: Señor, la cuenta, por favor\n  start_ms: 183430\n  end_ms: 184610\n  words:\n  - text: 'Señor, '\n    start_ms: 183430\n  - text: 'la '\n    start_ms: 183710\n  - text: 'cuenta, '\n    start_ms: 183830\n  - text: 'por '\n    start_ms: 184130\n  - text: favor\n    start_ms: 184290\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185170\n  end_ms: 188360\n  words:\n  - text: 'If '\n    start_ms: 185170\n  - text: 'you '\n    start_ms: 185405\n  - text: 'ain''t '\n    start_ms: 185640\n  - text: 'tried '\n    start_ms: 186286\n  - text: 'real '\n    start_ms: 186638\n  - text: 'Mexican '\n    start_ms: 186892\n  - text: 'cooking, '\n    start_ms: 187440\n  - text: 'well, '\n    start_ms: 187812\n  - text: 'you '\n    start_ms: 187988\n  - text: oughta\n    start_ms: 188145\n- text: Just don't drink the water\n  start_ms: 188360\n  end_ms: 189420\n  words:\n  - text: 'Just '\n    start_ms: 188360\n  - text: 'don''t '\n    start_ms: 188600\n  - text: 'drink '\n    start_ms: 188740\n  - text: 'the '\n    start_ms: 188920\n  - text: water\n    start_ms: 189040\n- text: Taco\n  start_ms: 193560\n  end_ms: 197800\n  words:\n  - text: Taco\n    start_ms: 193560\n- text: Grande\n  start_ms: 198210\n  end_ms: 198770\n  words:\n  - text: Grande\n    start_ms: 198210\n- text: Taco\n  start_ms: 202640\n  end_ms: 206840\n  words:\n  - text: Taco\n    start_ms: 202640\n- text: Grande\n  start_ms: 207320\n  end_ms: 208120\n  words:\n  - text: Grande\n    start_ms: 207320\n- text: Taco\n  start_ms: 211670\n  end_ms: 211690\n  words:\n  - text: Taco\n    start_ms: 211670\n- text: Grande\n  start_ms: 216310\n  end_ms: 216430\n  words:\n  - text: Grande\n    start_ms: 216310\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":3294977,"name":"Taco Grande","trackName":"Taco Grande","artistName":"“Weird Al” Yankovic","albumName":"Off the Deep End","duration":228.0,"instrumental":false,"hasWordSync":true,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.24]Taco\n[00:16.50]Grande\n[00:21.19]Taco\n[00:25.42]Grande\n[00:26.98]Yo quiero chimichangas y chile colorado\n[00:29.25]Yo tengo el dinero para un steak picado\n[00:31.52]Las flautas y tamales, siempre muy bueno\n[00:33.91]Y el chile relleno\n[00:35.52]You see, I just gotta have a tostada, carne asada\n[00:38.69]That's right, I want the whole enchilada\n[00:40.57]My only addiction has to do with a flour tortilla\n[00:43.45]I need a quesadilla\n[00:44.74]I love to stuff my face with tacos al carbón\n[00:47.51]With my friends, or when I'm all alone\n[00:49.45]Yo tengo mucho hambre y ahora lo quiero\n[00:51.90]Un burrito ranchero\n[00:54.18]So give me something spicy and hot, now\n[00:56.76]Break out the menu, what you got, now?\n[00:58.78]Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:01.34]You better make sure the beans are refried\n[01:06.88]Taco\n[01:11.02]Grande\n[01:15.85]Taco\n[01:20.37]Grande\n[01:21.21]Well, there's not a taco big enough for a man like me\n[01:23.95]That's why I order two or three\n[01:25.75]Let me give you a tip, just try a nacho chip\n[01:28.53]It's really good with bean dip\n[01:30.28]I eat uno, dos, tres, cuatro burritos\n[01:32.94]Pretty soon I can't fit in my Speedos\n[01:34.79]Well, I hope they feed us lots of chicken fajitas\n[01:37.52]And a pitcher of margaritas\n[01:39.24]Well, the combination plates all come with beans and rice\n[01:42.08]The taquitos here are very nice\n[01:43.95]Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:46.83]And could you make that separate checks, please?\n[01:52.13]Taco\n[01:56.78]Grande\n[02:01.15]Taco\n[02:05.45]Grande\n[02:07.07]\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:10.52]Tenemos muchos platos muy sabrosos\n[02:12.71]Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:16.92]Sus ojos se quemarán, su estomago estará en fuego\n[02:19.74]Se quedarán en el baño por una semana\n[02:21.96]Entiendes lo que digo gringo estúpido tonto?\"\n[02:24.82]Well, the food is coming, I can hardly wait\n[02:27.42]Now watch your fingers, careful hot plate!\n[02:29.23]What you think you're doing with my chile con queso?\n[02:31.92]Well, if you want some, just say so\n[02:34.07]Oh boy, pico de gallo\n[02:36.62]They sure don't make it like this in Ohio\n[02:38.53]No gracias, yo quiero jalepeños, nada más\n[02:41.03]You can toss away the hot sauce\n[02:42.98]¿Dónde están los nachos? Holy frijole!\n[02:45.35]You better get me a bowl of guacamole\n[02:47.39]¿Y usted, Eugene? Why's your face turning green?\n[02:50.04]Don't you like pinto bean?\n[02:51.89]You want some more cinnamon crispas?\n[02:54.67]If you don't, hasta la vista\n[02:56.08]Just take the rest home in a doggie bag if you wanna\n[02:59.38]You can finish it mañana\n[03:00.80]Well, it's been a pleasure, I can't eat no more\n[03:03.43]Señor, la cuenta, por favor\n[03:05.17]If you ain't tried real Mexican cooking, well, you oughta\n[03:08.36]Just don't drink the water\n[03:13.56]Taco\n[03:18.21]Grande\n[03:22.64]Taco\n[03:27.32]Grande\n[03:31.67]Taco\n[03:36.31]Grande","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: “Weird Al” Yankovic\n  album: Off the Deep End\n  duration_ms: 228000\n  instrumental: false\n  language: en\nlines:\n- text: Taco\n  start_ms: 12240\n  end_ms: 12720\n  words:\n  - text: Taco\n    start_ms: 12240\n- text: Grande\n  start_ms: 16500\n  end_ms: 16500\n  words:\n  - text: Grande\n    start_ms: 16500\n- text: Taco\n  start_ms: 21190\n  end_ms: 21250\n  words:\n  - text: Taco\n    start_ms: 21190\n- text: Grande\n  start_ms: 25420\n  end_ms: 26380\n  words:\n  - text: Grande\n    start_ms: 25420\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26980\n  end_ms: 29060\n  words:\n  - text: 'Yo '\n    start_ms: 26980\n  - text: 'quiero '\n    start_ms: 27100\n  - text: 'chimichangas '\n    start_ms: 27380\n  - text: 'y '\n    start_ms: 28140\n  - text: 'chile '\n    start_ms: 28220\n  - text: colorado\n    start_ms: 28540\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29250\n  end_ms: 31310\n  words:\n  - text: 'Yo '\n    start_ms: 29250\n  - text: 'tengo '\n    start_ms: 29370\n  - text: 'el '\n    start_ms: 29710\n  - text: 'dinero '\n    start_ms: 29830\n  - text: 'para '\n    start_ms: 30330\n  - text: 'un '\n    start_ms: 30570\n  - text: 'steak '\n    start_ms: 30690\n  - text: picado\n    start_ms: 30910\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31520\n  end_ms: 33720\n  words:\n  - text: 'Las '\n    start_ms: 31520\n  - text: 'flautas '\n    start_ms: 31660\n  - text: 'y '\n    start_ms: 32000\n  - text: 'tamales, '\n    start_ms: 32120\n  - text: 'siempre '\n    start_ms: 32659\n  - text: 'muy '\n    start_ms: 33100\n  - text: bueno\n    start_ms: 33320\n- text: Y el chile relleno\n  start_ms: 33910\n  end_ms: 35210\n  words:\n  - text: 'Y '\n    start_ms: 33910\n  - text: 'el '\n    start_ms: 34010\n  - text: 'chile '\n    start_ms: 34130\n  - text: relleno\n    start_ms: 34590\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35520\n  end_ms: 38400\n  words:\n  - text: 'You '\n    start_ms: 35520\n  - text: 'see, '\n    start_ms: 35620\n  - text: 'I '\n    start_ms: 35980\n  - text: 'just '\n    start_ms: 36120\n  - text: 'gotta '\n    start_ms: 36360\n  - text: 'have '\n    start_ms: 36760\n  - text: 'a '\n    start_ms: 36920\n  - text: 'tostada, '\n    start_ms: 37020\n  - text: 'carne '\n    start_ms: 37560\n  - text: asada\n    start_ms: 37940\n- text: That's right, I want the whole enchilada\n  start_ms: 38690\n  end_ms: 40230\n  words:\n  - text: 'That''s '\n    start_ms: 38690\n  - text: 'right, '\n    start_ms: 38890\n  - text: 'I '\n    start_ms: 39070\n  - text: 'want '\n    start_ms: 39130\n  - text: 'the '\n    start_ms: 39290\n  - text: 'whole '\n    start_ms: 39390\n  - text: enchilada\n    start_ms: 39610\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40570\n  end_ms: 43190\n  words:\n  - text: 'My '\n    start_ms: 40570\n  - text: 'only '\n    start_ms: 40750\n  - text: 'addiction '\n    start_ms: 41030\n  - text: 'has '\n    start_ms: 41530\n  - text: 'to '\n    start_ms: 41690\n  - text: 'do '\n    start_ms: 41830\n  - text: 'with '\n    start_ms: 41970\n  - text: 'a '\n    start_ms: 42070\n  - text: 'flour '\n    start_ms: 42190\n  - text: tortilla\n    start_ms: 42510\n- text: I need a quesadilla\n  start_ms: 43450\n  end_ms: 44550\n  words:\n  - text: 'I '\n    start_ms: 43450\n  - text: 'need '\n    start_ms: 43530\n  - text: 'a '\n    start_ms: 43710\n  - text: quesadilla\n    start_ms: 43810\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44740\n  end_ms: 47040\n  words:\n  - text: 'I '\n    start_ms: 44740\n  - text: 'love '\n    start_ms: 44800\n  - text: 'to '\n    start_ms: 44960\n  - text: 'stuff '\n    start_ms: 45080\n  - text: 'my '\n    start_ms: 45300\n  - text: 'face '\n    start_ms: 45540\n  - text: 'with '\n    start_ms: 45820\n  - text: 'tacos '\n    start_ms: 45960\n  - text: 'al '\n    start_ms: 46280\n  - text: carbón\n    start_ms: 46420\n- text: With my friends, or when I'm all alone\n  start_ms: 47510\n  end_ms: 49010\n  words:\n  - text: 'With '\n    start_ms: 47510\n  - text: 'my '\n    start_ms: 47630\n  - text: 'friends, '\n    start_ms: 47790\n  - text: 'or '\n    start_ms: 48110\n  - text: 'when '\n    start_ms: 48210\n  - text: 'I''m '\n    start_ms: 48390\n  - text: 'all '\n    start_ms: 48530\n  - text: alone\n    start_ms: 48670\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49450\n  end_ms: 51900\n  words:\n  - text: 'Yo '\n    start_ms: 49450\n  - text: 'tengo '\n    start_ms: 49567\n  - text: 'mucho '\n    start_ms: 49839\n  - 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text: 'menu, '\n    start_ms: 57200\n  - text: 'what '\n    start_ms: 57480\n  - text: 'you '\n    start_ms: 57660\n  - text: 'got, '\n    start_ms: 57780\n  - text: now?\n    start_ms: 58060\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 58780\n  end_ms: 61340\n  words:\n  - text: 'Oh, '\n    start_ms: 58780\n  - text: 'would '\n    start_ms: 58891\n  - text: 'you '\n    start_ms: 59040\n  - text: 'tell '\n    start_ms: 59151\n  - text: 'the '\n    start_ms: 59299\n  - text: 'waiter '\n    start_ms: 59411\n  - text: 'I''d '\n    start_ms: 59745\n  - text: 'like '\n    start_ms: 59893\n  - text: 'to '\n    start_ms: 60023\n  - text: 'have '\n    start_ms: 60171\n  - text: 'sour '\n    start_ms: 60338\n  - text: 'cream '\n    start_ms: 60579\n  - text: 'on '\n    start_ms: 60858\n  - text: 'the '\n    start_ms: 60932\n  - text: side\n    start_ms: 61080\n- text: You better make sure the beans are refried\n  start_ms: 61340\n  end_ms: 62840\n  words:\n  - text: 'You '\n    start_ms: 61340\n  - text: 'better '\n    start_ms: 61420\n  - text: 'make '\n    start_ms: 61560\n  - text: 'sure '\n    start_ms: 61700\n  - text: 'the '\n    start_ms: 61880\n  - text: 'beans '\n    start_ms: 61980\n  - text: 'are '\n    start_ms: 62200\n  - text: refried\n    start_ms: 62320\n- text: Taco\n  start_ms: 66880\n  end_ms: 67380\n  words:\n  - text: Taco\n    start_ms: 66880\n- text: Grande\n  start_ms: 71020\n  end_ms: 71860\n  words:\n  - text: Grande\n    start_ms: 71020\n- text: Taco\n  start_ms: 75850\n  end_ms: 76390\n  words:\n  - text: Taco\n    start_ms: 75850\n- text: Grande\n  start_ms: 80370\n  end_ms: 80370\n  words:\n  - text: Grande\n    start_ms: 80370\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81210\n  end_ms: 83930\n  words:\n  - text: 'Well, '\n    start_ms: 81210\n  - text: 'there''s '\n    start_ms: 81330\n  - text: 'not '\n    start_ms: 81630\n  - text: 'a '\n    start_ms: 81890\n  - text: 'taco '\n    start_ms: 82050\n  - 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text: 'try '\n    start_ms: 86910\n  - text: 'a '\n    start_ms: 87110\n  - text: 'nacho '\n    start_ms: 87210\n  - text: chip\n    start_ms: 87710\n- text: It's really good with bean dip\n  start_ms: 88530\n  end_ms: 89750\n  words:\n  - text: 'It''s '\n    start_ms: 88530\n  - text: 'really '\n    start_ms: 88670\n  - text: 'good '\n    start_ms: 88930\n  - text: 'with '\n    start_ms: 89070\n  - text: 'bean '\n    start_ms: 89210\n  - text: dip\n    start_ms: 89490\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90280\n  end_ms: 92820\n  words:\n  - text: 'I '\n    start_ms: 90280\n  - text: 'eat '\n    start_ms: 90400\n  - text: 'uno, '\n    start_ms: 90740\n  - text: 'dos, '\n    start_ms: 91120\n  - text: 'tres, '\n    start_ms: 91460\n  - text: 'cuatro '\n    start_ms: 91860\n  - text: burritos\n    start_ms: 92160\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92940\n  end_ms: 94700\n  words:\n  - text: 'Pretty '\n    start_ms: 92940\n  - text: 'soon '\n    start_ms: 93240\n  - text: 'I '\n    start_ms: 93640\n  - text: 'can''t '\n    start_ms: 93780\n  - text: 'fit '\n    start_ms: 94060\n  - text: 'in '\n    start_ms: 94220\n  - text: 'my '\n    start_ms: 94300\n  - text: Speedos\n    start_ms: 94440\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 94790\n  end_ms: 97170\n  words:\n  - text: 'Well, '\n    start_ms: 94790\n  - text: 'I '\n    start_ms: 94970\n  - text: 'hope '\n    start_ms: 95050\n  - text: 'they '\n    start_ms: 95310\n  - text: 'feed '\n    start_ms: 95510\n  - text: 'us '\n    start_ms: 95770\n  - text: 'lots '\n    start_ms: 95870\n  - text: 'of '\n    start_ms: 96050\n  - text: 'chicken '\n    start_ms: 96150\n  - text: fajitas\n    start_ms: 96450\n- text: And a pitcher of margaritas\n  start_ms: 97520\n  end_ms: 99120\n  words:\n  - text: 'And '\n    start_ms: 97520\n  - text: 'a '\n    start_ms: 97700\n  - text: 'pitcher '\n    start_ms: 97820\n  - text: 'of '\n    start_ms: 98200\n  - text: margaritas\n    start_ms: 98240\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 99240\n  end_ms: 101860\n  words:\n  - text: 'Well, '\n    start_ms: 99240\n  - text: 'the '\n    start_ms: 99380\n  - text: 'combination '\n    start_ms: 99520\n  - text: 'plates '\n    start_ms: 100460\n  - text: 'all '\n    start_ms: 100780\n  - text: 'come '\n    start_ms: 100900\n  - text: 'with '\n    start_ms: 101040\n  - text: 'beans '\n    start_ms: 101200\n  - text: 'and '\n    start_ms: 101440\n  - text: rice\n    start_ms: 101620\n- text: The taquitos here are very nice\n  start_ms: 102080\n  end_ms: 103640\n  words:\n  - text: 'The '\n    start_ms: 102080\n  - text: 'taquitos '\n    start_ms: 102200\n  - text: 'here '\n    start_ms: 102780\n  - text: 'are '\n    start_ms: 102920\n  - text: 'very '\n    start_ms: 103040\n  - text: nice\n    start_ms: 103300\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103950\n  end_ms: 106610\n  words:\n  - text: 'Now '\n    start_ms: 103950\n  - text: 'I''m '\n    start_ms: 104110\n  - text: 'down '\n    start_ms: 104210\n  - text: 'on '\n    start_ms: 104390\n  - text: 'my '\n    start_ms: 104510\n  - text: 'knees, '\n    start_ms: 104650\n  - text: 'we '\n    start_ms: 104970\n  - text: 'need '\n    start_ms: 105070\n  - text: 'some '\n    start_ms: 105210\n  - text: 'extra '\n    start_ms: 105390\n  - text: 'tomatoes '\n    start_ms: 105630\n  - text: 'and '\n    start_ms: 106130\n  - text: cheese\n    start_ms: 106310\n- text: And could you make that separate checks, please?\n  start_ms: 106830\n  end_ms: 108570\n  words:\n  - text: 'And '\n    start_ms: 106830\n  - text: 'could '\n    start_ms: 106930\n  - text: 'you '\n    start_ms: 107090\n  - text: 'make '\n    start_ms: 107170\n  - text: 'that '\n    start_ms: 107330\n  - text: 'separate '\n    start_ms: 107470\n  - text: 'checks, '\n    start_ms: 107770\n  - text: please?\n    start_ms: 108050\n- text: Taco\n  start_ms: 112130\n  end_ms: 112630\n  words:\n  - text: Taco\n    start_ms: 112130\n- text: Grande\n  start_ms: 116780\n  end_ms: 117800\n  words:\n  - text: Grande\n    start_ms: 116780\n- text: Taco\n  start_ms: 121150\n  end_ms: 121690\n  words:\n  - text: Taco\n    start_ms: 121150\n- text: Grande\n  start_ms: 125450\n  end_ms: 126290\n  words:\n  - text: Grande\n    start_ms: 125450\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127070\n  end_ms: 130410\n  words:\n  - text: '\"Buenos '\n    start_ms: 127090\n  - text: 'noches, '\n    start_ms: 127350\n  - text: 'señor. '\n    start_ms: 127650\n  - text: 'bienvenido '\n    start_ms: 128190\n  - text: 'a '\n    start_ms: 128770\n  - text: 'Enrico''s '\n    start_ms: 128890\n  - text: 'Casa '\n    start_ms: 129629\n  - text: 'de '\n    start_ms: 129870\n  - text: Salsa\n    start_ms: 130009\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130520\n  end_ms: 132240\n  words:\n  - text: 'Tenemos '\n    start_ms: 130520\n  - text: 'muchos '\n    start_ms: 130839\n  - text: 'platos '\n    start_ms: 131160\n  - text: 'muy '\n    start_ms: 131559\n  - text: sabrosos\n    start_ms: 131779\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132710\n  end_ms: 136551\n  words:\n  - text: 'Si '\n    start_ms: 132710\n  - text: 'puedo '\n    start_ms: 132831\n  - text: 'recomendar '\n    start_ms: 133031\n  - text: 'el '\n    start_ms: 133611\n  - text: 'ardiente '\n    start_ms: 133771\n  - text: 'pollo '\n    start_ms: 134331\n  - text: 'al '\n    start_ms: 134651\n  - text: 'infierno '\n    start_ms: 134791\n  - text: 'muy '\n    start_ms: 135411\n  - text: delicioso\n    start_ms: 135751\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136920\n  end_ms: 139560\n  words:\n  - text: 'Sus '\n    start_ms: 136920\n  - text: 'ojos '\n    start_ms: 137100\n  - text: 'se '\n    start_ms: 137340\n  - text: 'quemarán, '\n    start_ms: 137440\n  - text: 'su '\n    start_ms: 138200\n  - text: 'estomago '\n    start_ms: 138280\n  - text: 'estará '\n    start_ms: 138740\n  - text: 'en '\n    start_ms: 139080\n  - text: fuego\n    start_ms: 139300\n- text: Se quedarán en el baño por una semana\n  start_ms: 139740\n  end_ms: 141580\n  words:\n  - text: 'Se '\n    start_ms: 139740\n  - text: 'quedarán '\n    start_ms: 139860\n  - text: 'en '\n    start_ms: 140260\n  - text: 'el '\n    start_ms: 140360\n  - text: 'baño '\n    start_ms: 140500\n  - text: 'por '\n    start_ms: 140780\n  - text: 'una '\n    start_ms: 140960\n  - text: semana\n    start_ms: 141160\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141960\n  end_ms: 144520\n  words:\n  - text: 'Entiendes '\n    start_ms: 141960\n  - text: 'lo '\n    start_ms: 142380\n  - text: 'que '\n    start_ms: 142500\n  - text: 'digo '\n    start_ms: 142700\n  - text: 'gringo '\n    start_ms: 143120\n  - text: 'estúpido '\n    start_ms: 143460\n  - text: tonto?\"\n    start_ms: 144020\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144820\n  end_ms: 146900\n  words:\n  - text: 'Well, '\n    start_ms: 144820\n  - text: 'the '\n    start_ms: 144960\n  - text: 'food '\n    start_ms: 145080\n  - text: 'is '\n    start_ms: 145300\n  - text: 'coming, '\n    start_ms: 145500\n  - text: 'I '\n    start_ms: 145960\n  - text: 'can '\n    start_ms: 146020\n  - text: 'hardly '\n    start_ms: 146160\n  - text: wait\n    start_ms: 146600\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147420\n  end_ms: 148920\n  words:\n  - text: 'Now '\n    start_ms: 147420\n  - text: 'watch '\n    start_ms: 147540\n  - text: 'your '\n    start_ms: 147720\n  - text: 'fingers, '\n    start_ms: 147820\n  - text: 'careful '\n    start_ms: 148120\n  - text: 'hot '\n    start_ms: 148400\n  - text: plate!\n    start_ms: 148620\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149230\n  end_ms: 151670\n  words:\n  - text: 'What '\n    start_ms: 149230\n  - text: 'you '\n    start_ms: 149410\n  - text: 'think '\n    start_ms: 149510\n  - text: 'you''re '\n    start_ms: 149690\n  - text: 'doing '\n    start_ms: 149990\n  - text: 'with '\n    start_ms: 150350\n  - text: 'my '\n    start_ms: 150470\n  - text: 'chile '\n    start_ms: 150610\n  - text: 'con '\n    start_ms: 150890\n  - text: queso?\n    start_ms: 151170\n- text: Well, if you want some, just say so\n  start_ms: 151920\n  end_ms: 153340\n  words:\n  - text: 'Well, '\n    start_ms: 151920\n  - text: 'if '\n    start_ms: 152100\n  - text: 'you '\n    start_ms: 152220\n  - text: 'want '\n    start_ms: 152320\n  - text: 'some, '\n    start_ms: 152480\n  - text: 'just '\n    start_ms: 152640\n  - text: 'say '\n    start_ms: 152880\n  - text: so\n    start_ms: 153180\n- text: Oh boy, pico de gallo\n  start_ms: 154070\n  end_ms: 156070\n  words:\n  - text: 'Oh '\n    start_ms: 154070\n  - text: 'boy, '\n    start_ms: 154430\n  - text: 'pico '\n    start_ms: 155290\n  - text: 'de '\n    start_ms: 155590\n  - text: gallo\n    start_ms: 155710\n- text: They sure don't make it like this in Ohio\n  start_ms: 156620\n  end_ms: 158530\n  words:\n  - text: 'They '\n    start_ms: 156620\n  - text: 'sure '\n    start_ms: 156718\n  - text: 'don''t '\n    start_ms: 156876\n  - text: 'make '\n    start_ms: 157053\n  - text: 'it '\n    start_ms: 157230\n  - text: 'like '\n    start_ms: 157309\n  - text: 'this '\n    start_ms: 157506\n  - text: 'in '\n    start_ms: 157782\n  - text: Ohio\n    start_ms: 157939\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158530\n  end_ms: 160910\n  words:\n  - text: 'No '\n    start_ms: 158530\n  - text: 'gracias, '\n    start_ms: 158690\n  - text: 'yo '\n    start_ms: 159250\n  - text: 'quiero '\n    start_ms: 159370\n  - text: 'jalepeños, '\n    start_ms: 159670\n  - text: 'nada '\n    start_ms: 160430\n  - text: más\n    start_ms: 160690\n- text: You can toss away the hot sauce\n  start_ms: 161030\n  end_ms: 162490\n  words:\n  - text: 'You '\n    start_ms: 161030\n  - text: 'can '\n    start_ms: 161130\n  - text: 'toss '\n    start_ms: 161290\n  - text: 'away '\n    start_ms: 161630\n  - text: 'the '\n    start_ms: 161850\n  - text: 'hot '\n    start_ms: 161950\n  - text: sauce\n    start_ms: 162230\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162980\n  end_ms: 165350\n  words:\n  - text: '¿Dónde '\n    start_ms: 163039\n  - text: 'están '\n    start_ms: 163313\n  - text: 'los '\n    start_ms: 163607\n  - text: 'nachos? '\n    start_ms: 163881\n  - text: 'Holy '\n    start_ms: 164645\n  - text: frijole!\n    start_ms: 164919\n- text: You better get me a bowl of guacamole\n  start_ms: 165350\n  end_ms: 167090\n  words:\n  - text: 'You '\n    start_ms: 165350\n  - text: 'better '\n    start_ms: 165470\n  - text: 'get '\n    start_ms: 165770\n  - text: 'me '\n    start_ms: 165930\n  - text: 'a '\n    start_ms: 166210\n  - text: 'bowl '\n    start_ms: 166310\n  - text: 'of '\n    start_ms: 166510\n  - text: guacamole\n    start_ms: 166590\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167390\n  end_ms: 169630\n  words:\n  - text: '¿Y '\n    start_ms: 167490\n  - text: 'usted, '\n    start_ms: 167570\n  - text: 'Eugene? '\n    start_ms: 167970\n  - text: 'Why''s '\n    start_ms: 168490\n  - text: 'your '\n    start_ms: 168670\n  - text: 'face '\n    start_ms: 168790\n  - text: 'turning '\n    start_ms: 168990\n  - text: green?\n    start_ms: 169250\n- text: Don't you like pinto bean?\n  start_ms: 170040\n  end_ms: 171440\n  words:\n  - text: 'Don''t '\n    start_ms: 170040\n  - text: 'you '\n    start_ms: 170220\n  - text: 'like '\n    start_ms: 170400\n  - text: 'pinto '\n    start_ms: 170780\n  - text: bean?\n    start_ms: 171080\n- text: You want some more cinnamon crispas?\n  start_ms: 171890\n  end_ms: 174390\n  words:\n  - text: 'You '\n    start_ms: 171890\n  - text: 'want '\n    start_ms: 172150\n  - text: 'some '\n    start_ms: 172450\n  - text: 'more '\n    start_ms: 172650\n  - text: 'cinnamon '\n    start_ms: 173410\n  - text: crispas?\n    start_ms: 173810\n- text: If you don't, hasta la vista\n  start_ms: 174670\n  end_ms: 175830\n  words:\n  - text: 'If '\n    start_ms: 174670\n  - text: 'you '\n    start_ms: 174790\n  - text: 'don''t, '\n    start_ms: 174930\n  - text: 'hasta '\n    start_ms: 175190\n  - text: 'la '\n    start_ms: 175470\n  - text: vista\n    start_ms: 175590\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176080\n  end_ms: 179300\n  words:\n  - text: 'Just '\n    start_ms: 176080\n  - text: 'take '\n    start_ms: 176320\n  - text: 'the '\n    start_ms: 176560\n  - text: 'rest '\n    start_ms: 176860\n  - text: 'home '\n    start_ms: 177140\n  - text: 'in '\n    start_ms: 177500\n  - text: 'a '\n    start_ms: 177660\n  - text: 'doggie '\n    start_ms: 177860\n  - text: 'bag '\n    start_ms: 178420\n  - text: 'if '\n    start_ms: 178720\n  - text: 'you '\n    start_ms: 178860\n  - text: wanna\n    start_ms: 179020\n- text: You can finish it mañana\n  start_ms: 179380\n  end_ms: 180560\n  words:\n  - text: 'You '\n    start_ms: 179380\n  - text: 'can '\n    start_ms: 179500\n  - text: 'finish '\n    start_ms: 179660\n  - text: 'it '\n    start_ms: 179940\n  - text: mañana\n    start_ms: 180060\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180800\n  end_ms: 183100\n  words:\n  - text: 'Well, '\n    start_ms: 180800\n  - text: 'it''s '\n    start_ms: 180980\n  - text: 'been '\n    start_ms: 181200\n  - text: 'a '\n    start_ms: 181420\n  - text: 'pleasure, '\n    start_ms: 181580\n  - text: 'I '\n    start_ms: 182060\n  - text: 'can''t '\n    start_ms: 182160\n  - text: 'eat '\n    start_ms: 182340\n  - text: 'no '\n    start_ms: 182560\n  - text: more\n    start_ms: 182760\n- text: Señor, la cuenta, por favor\n  start_ms: 183430\n  end_ms: 184610\n  words:\n  - text: 'Señor, '\n    start_ms: 183430\n  - text: 'la '\n    start_ms: 183710\n  - text: 'cuenta, '\n    start_ms: 183830\n  - text: 'por '\n    start_ms: 184130\n  - text: favor\n    start_ms: 184290\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185170\n  end_ms: 188360\n  words:\n  - text: 'If '\n    start_ms: 185170\n  - text: 'you '\n    start_ms: 185405\n  - text: 'ain''t '\n    start_ms: 185640\n  - text: 'tried '\n    start_ms: 186286\n  - text: 'real '\n    start_ms: 186638\n  - text: 'Mexican '\n    start_ms: 186892\n  - text: 'cooking, '\n    start_ms: 187440\n  - text: 'well, '\n    start_ms: 187812\n  - text: 'you '\n    start_ms: 187988\n  - text: oughta\n    start_ms: 188145\n- text: Just don't drink the water\n  start_ms: 188360\n  end_ms: 189420\n  words:\n  - text: 'Just '\n    start_ms: 188360\n  - text: 'don''t '\n    start_ms: 188600\n  - text: 'drink '\n    start_ms: 188740\n  - text: 'the '\n    start_ms: 188920\n  - text: water\n    start_ms: 189040\n- text: Taco\n  start_ms: 193560\n  end_ms: 197800\n  words:\n  - text: Taco\n    start_ms: 193560\n- text: Grande\n  start_ms: 198210\n  end_ms: 198770\n  words:\n  - text: Grande\n    start_ms: 198210\n- text: Taco\n  start_ms: 202640\n  end_ms: 206840\n  words:\n  - text: Taco\n    start_ms: 202640\n- text: Grande\n  start_ms: 207320\n  end_ms: 208120\n  words:\n  - text: Grande\n    start_ms: 207320\n- text: Taco\n  start_ms: 211670\n  end_ms: 211690\n  words:\n  - text: Taco\n    start_ms: 211670\n- text: Grande\n  start_ms: 216310\n  end_ms: 216430\n  words:\n  - text: Grande\n    start_ms: 216310\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":1641738,"name":"Taco Grande","trackName":"Taco Grande","artistName":"“Weird Al” Yankovic","albumName":"The Food Album","duration":228.0,"instrumental":false,"hasWordSync":true,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:12.24]Taco\n[00:16.50]Grande\n[00:21.19]Taco\n[00:25.42]Grande\n[00:26.98]Yo quiero chimichangas y chile colorado\n[00:29.25]Yo tengo el dinero para un steak picado\n[00:31.52]Las flautas y tamales, siempre muy bueno\n[00:33.91]Y el chile relleno\n[00:35.52]You see, I just gotta have a tostada, carne asada\n[00:38.69]That's right, I want the whole enchilada\n[00:40.57]My only addiction has to do with a flour tortilla\n[00:43.45]I need a quesadilla\n[00:44.74]I love to stuff my face with tacos al carbón\n[00:47.51]With my friends, or when I'm all alone\n[00:49.45]Yo tengo mucho hambre y ahora lo quiero\n[00:51.90]Un burrito ranchero\n[00:54.18]So give me something spicy and hot, now\n[00:56.76]Break out the menu, what you got, now?\n[00:58.78]Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:01.34]You better make sure the beans are refried\n[01:06.88]Taco\n[01:11.02]Grande\n[01:15.85]Taco\n[01:20.37]Grande\n[01:21.21]Well, there's not a taco big enough for a man like me\n[01:23.95]That's why I order two or three\n[01:25.75]Let me give you a tip, just try a nacho chip\n[01:28.53]It's really good with bean dip\n[01:30.28]I eat uno, dos, tres, cuatro burritos\n[01:32.94]Pretty soon I can't fit in my Speedos\n[01:34.79]Well, I hope they feed us lots of chicken fajitas\n[01:37.52]And a pitcher of margaritas\n[01:39.24]Well, the combination plates all come with beans and rice\n[01:42.08]The taquitos here are very nice\n[01:43.95]Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:46.83]And could you make that separate checks, please?\n[01:52.13]Taco\n[01:56.78]Grande\n[02:01.15]Taco\n[02:05.45]Grande\n[02:07.07]\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:10.52]Tenemos muchos platos muy sabrosos\n[02:12.71]Si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:16.92]Sus ojos se quemarán, su estomago estará en fuego\n[02:19.74]Se quedarán en el baño por una semana\n[02:21.96]Entiendes lo que digo gringo estúpido tonto?\"\n[02:24.82]Well, the food is coming, I can hardly wait\n[02:27.42]Now watch your fingers, careful hot plate!\n[02:29.23]What you think you're doing with my chile con queso?\n[02:31.92]Well, if you want some, just say so\n[02:34.07]Oh boy, pico de gallo\n[02:36.62]They sure don't make it like this in Ohio\n[02:38.53]No gracias, yo quiero jalepeños, nada más\n[02:41.03]You can toss away the hot sauce\n[02:42.98]¿Dónde están los nachos? Holy frijole!\n[02:45.35]You better get me a bowl of guacamole\n[02:47.39]¿Y usted, Eugene? Why's your face turning green?\n[02:50.04]Don't you like pinto bean?\n[02:51.89]You want some more cinnamon crispas?\n[02:54.67]If you don't, hasta la vista\n[02:56.08]Just take the rest home in a doggie bag if you wanna\n[02:59.38]You can finish it mañana\n[03:00.80]Well, it's been a pleasure, I can't eat no more\n[03:03.43]Señor, la cuenta, por favor\n[03:05.17]If you ain't tried real Mexican cooking, well, you oughta\n[03:08.36]Just don't drink the water\n[03:13.56]Taco\n[03:18.21]Grande\n[03:22.64]Taco\n[03:27.32]Grande\n[03:31.67]Taco\n[03:36.31]Grande","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: “Weird Al” Yankovic\n  album: The Food Album\n  duration_ms: 228000\n  instrumental: false\n  language: en\nlines:\n- text: Taco\n  start_ms: 12240\n  end_ms: 12720\n  words:\n  - text: Taco\n    start_ms: 12240\n- text: Grande\n  start_ms: 16500\n  end_ms: 16500\n  words:\n  - text: Grande\n    start_ms: 16500\n- text: Taco\n  start_ms: 21190\n  end_ms: 21250\n  words:\n  - text: Taco\n    start_ms: 21190\n- text: Grande\n  start_ms: 25420\n  end_ms: 26380\n  words:\n  - text: Grande\n    start_ms: 25420\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26980\n  end_ms: 29060\n  words:\n  - text: 'Yo '\n    start_ms: 26980\n  - text: 'quiero '\n    start_ms: 27100\n  - text: 'chimichangas '\n    start_ms: 27380\n  - text: 'y '\n    start_ms: 28140\n  - text: 'chile '\n    start_ms: 28220\n  - text: colorado\n    start_ms: 28540\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29250\n  end_ms: 31310\n  words:\n  - text: 'Yo '\n    start_ms: 29250\n  - text: 'tengo '\n    start_ms: 29370\n  - text: 'el '\n    start_ms: 29710\n  - text: 'dinero '\n    start_ms: 29830\n  - text: 'para '\n    start_ms: 30330\n  - text: 'un '\n    start_ms: 30570\n  - text: 'steak '\n    start_ms: 30690\n  - text: picado\n    start_ms: 30910\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31520\n  end_ms: 33720\n  words:\n  - text: 'Las '\n    start_ms: 31520\n  - text: 'flautas '\n    start_ms: 31660\n  - text: 'y '\n    start_ms: 32000\n  - text: 'tamales, '\n    start_ms: 32120\n  - text: 'siempre '\n    start_ms: 32659\n  - text: 'muy '\n    start_ms: 33100\n  - text: bueno\n    start_ms: 33320\n- text: Y el chile relleno\n  start_ms: 33910\n  end_ms: 35210\n  words:\n  - text: 'Y '\n    start_ms: 33910\n  - text: 'el '\n    start_ms: 34010\n  - text: 'chile '\n    start_ms: 34130\n  - text: relleno\n    start_ms: 34590\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35520\n  end_ms: 38400\n  words:\n  - text: 'You '\n    start_ms: 35520\n  - text: 'see, '\n    start_ms: 35620\n  - text: 'I '\n    start_ms: 35980\n  - text: 'just '\n    start_ms: 36120\n  - text: 'gotta '\n    start_ms: 36360\n  - text: 'have '\n    start_ms: 36760\n  - text: 'a '\n    start_ms: 36920\n  - text: 'tostada, '\n    start_ms: 37020\n  - text: 'carne '\n    start_ms: 37560\n  - text: asada\n    start_ms: 37940\n- text: That's right, I want the whole enchilada\n  start_ms: 38690\n  end_ms: 40230\n  words:\n  - 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text: 'I '\n    start_ms: 44740\n  - text: 'love '\n    start_ms: 44800\n  - text: 'to '\n    start_ms: 44960\n  - text: 'stuff '\n    start_ms: 45080\n  - text: 'my '\n    start_ms: 45300\n  - text: 'face '\n    start_ms: 45540\n  - text: 'with '\n    start_ms: 45820\n  - text: 'tacos '\n    start_ms: 45960\n  - text: 'al '\n    start_ms: 46280\n  - text: carbón\n    start_ms: 46420\n- text: With my friends, or when I'm all alone\n  start_ms: 47510\n  end_ms: 49010\n  words:\n  - text: 'With '\n    start_ms: 47510\n  - text: 'my '\n    start_ms: 47630\n  - text: 'friends, '\n    start_ms: 47790\n  - text: 'or '\n    start_ms: 48110\n  - text: 'when '\n    start_ms: 48210\n  - text: 'I''m '\n    start_ms: 48390\n  - text: 'all '\n    start_ms: 48530\n  - text: alone\n    start_ms: 48670\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49450\n  end_ms: 51900\n  words:\n  - text: 'Yo '\n    start_ms: 49450\n  - text: 'tengo '\n    start_ms: 49567\n  - text: 'mucho '\n    start_ms: 49839\n  - 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text: 'You '\n    start_ms: 61340\n  - text: 'better '\n    start_ms: 61420\n  - text: 'make '\n    start_ms: 61560\n  - text: 'sure '\n    start_ms: 61700\n  - text: 'the '\n    start_ms: 61880\n  - text: 'beans '\n    start_ms: 61980\n  - text: 'are '\n    start_ms: 62200\n  - text: refried\n    start_ms: 62320\n- text: Taco\n  start_ms: 66880\n  end_ms: 67380\n  words:\n  - text: Taco\n    start_ms: 66880\n- text: Grande\n  start_ms: 71020\n  end_ms: 71860\n  words:\n  - text: Grande\n    start_ms: 71020\n- text: Taco\n  start_ms: 75850\n  end_ms: 76390\n  words:\n  - text: Taco\n    start_ms: 75850\n- text: Grande\n  start_ms: 80370\n  end_ms: 80370\n  words:\n  - text: Grande\n    start_ms: 80370\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81210\n  end_ms: 83930\n  words:\n  - text: 'Well, '\n    start_ms: 81210\n  - text: 'there''s '\n    start_ms: 81330\n  - text: 'not '\n    start_ms: 81630\n  - text: 'a '\n    start_ms: 81890\n  - text: 'taco '\n    start_ms: 82050\n  - 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text: 'try '\n    start_ms: 86910\n  - text: 'a '\n    start_ms: 87110\n  - text: 'nacho '\n    start_ms: 87210\n  - text: chip\n    start_ms: 87710\n- text: It's really good with bean dip\n  start_ms: 88530\n  end_ms: 89750\n  words:\n  - text: 'It''s '\n    start_ms: 88530\n  - text: 'really '\n    start_ms: 88670\n  - text: 'good '\n    start_ms: 88930\n  - text: 'with '\n    start_ms: 89070\n  - text: 'bean '\n    start_ms: 89210\n  - text: dip\n    start_ms: 89490\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90280\n  end_ms: 92820\n  words:\n  - text: 'I '\n    start_ms: 90280\n  - text: 'eat '\n    start_ms: 90400\n  - text: 'uno, '\n    start_ms: 90740\n  - text: 'dos, '\n    start_ms: 91120\n  - text: 'tres, '\n    start_ms: 91460\n  - text: 'cuatro '\n    start_ms: 91860\n  - text: burritos\n    start_ms: 92160\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92940\n  end_ms: 94700\n  words:\n  - text: 'Pretty '\n    start_ms: 92940\n  - text: 'soon '\n    start_ms: 93240\n  - 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text: 'Well, '\n    start_ms: 99240\n  - text: 'the '\n    start_ms: 99380\n  - text: 'combination '\n    start_ms: 99520\n  - text: 'plates '\n    start_ms: 100460\n  - text: 'all '\n    start_ms: 100780\n  - text: 'come '\n    start_ms: 100900\n  - text: 'with '\n    start_ms: 101040\n  - text: 'beans '\n    start_ms: 101200\n  - text: 'and '\n    start_ms: 101440\n  - text: rice\n    start_ms: 101620\n- text: The taquitos here are very nice\n  start_ms: 102080\n  end_ms: 103640\n  words:\n  - text: 'The '\n    start_ms: 102080\n  - text: 'taquitos '\n    start_ms: 102200\n  - text: 'here '\n    start_ms: 102780\n  - text: 'are '\n    start_ms: 102920\n  - text: 'very '\n    start_ms: 103040\n  - text: nice\n    start_ms: 103300\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103950\n  end_ms: 106610\n  words:\n  - text: 'Now '\n    start_ms: 103950\n  - text: 'I''m '\n    start_ms: 104110\n  - text: 'down '\n    start_ms: 104210\n  - text: 'on '\n    start_ms: 104390\n  - text: 'my '\n    start_ms: 104510\n  - text: 'knees, '\n    start_ms: 104650\n  - text: 'we '\n    start_ms: 104970\n  - text: 'need '\n    start_ms: 105070\n  - text: 'some '\n    start_ms: 105210\n  - text: 'extra '\n    start_ms: 105390\n  - text: 'tomatoes '\n    start_ms: 105630\n  - text: 'and '\n    start_ms: 106130\n  - text: cheese\n    start_ms: 106310\n- text: And could you make that separate checks, please?\n  start_ms: 106830\n  end_ms: 108570\n  words:\n  - text: 'And '\n    start_ms: 106830\n  - text: 'could '\n    start_ms: 106930\n  - text: 'you '\n    start_ms: 107090\n  - text: 'make '\n    start_ms: 107170\n  - text: 'that '\n    start_ms: 107330\n  - text: 'separate '\n    start_ms: 107470\n  - text: 'checks, '\n    start_ms: 107770\n  - text: please?\n    start_ms: 108050\n- text: Taco\n  start_ms: 112130\n  end_ms: 112630\n  words:\n  - text: Taco\n    start_ms: 112130\n- text: Grande\n  start_ms: 116780\n  end_ms: 117800\n  words:\n  - text: Grande\n    start_ms: 116780\n- text: Taco\n  start_ms: 121150\n  end_ms: 121690\n  words:\n  - text: Taco\n    start_ms: 121150\n- text: Grande\n  start_ms: 125450\n  end_ms: 126290\n  words:\n  - text: Grande\n    start_ms: 125450\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127070\n  end_ms: 130410\n  words:\n  - text: '\"Buenos '\n    start_ms: 127090\n  - text: 'noches, '\n    start_ms: 127350\n  - text: 'señor. '\n    start_ms: 127650\n  - text: 'bienvenido '\n    start_ms: 128190\n  - text: 'a '\n    start_ms: 128770\n  - text: 'Enrico''s '\n    start_ms: 128890\n  - text: 'Casa '\n    start_ms: 129629\n  - text: 'de '\n    start_ms: 129870\n  - text: Salsa\n    start_ms: 130009\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130520\n  end_ms: 132240\n  words:\n  - text: 'Tenemos '\n    start_ms: 130520\n  - text: 'muchos '\n    start_ms: 130839\n  - text: 'platos '\n    start_ms: 131160\n  - text: 'muy '\n    start_ms: 131559\n  - text: sabrosos\n    start_ms: 131779\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132710\n  end_ms: 136551\n  words:\n  - text: 'Si '\n    start_ms: 132710\n  - text: 'puedo '\n    start_ms: 132831\n  - text: 'recomendar '\n    start_ms: 133031\n  - text: 'el '\n    start_ms: 133611\n  - text: 'ardiente '\n    start_ms: 133771\n  - text: 'pollo '\n    start_ms: 134331\n  - text: 'al '\n    start_ms: 134651\n  - text: 'infierno '\n    start_ms: 134791\n  - text: 'muy '\n    start_ms: 135411\n  - text: delicioso\n    start_ms: 135751\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136920\n  end_ms: 139560\n  words:\n  - text: 'Sus '\n    start_ms: 136920\n  - text: 'ojos '\n    start_ms: 137100\n  - text: 'se '\n    start_ms: 137340\n  - text: 'quemarán, '\n    start_ms: 137440\n  - text: 'su '\n    start_ms: 138200\n  - text: 'estomago '\n    start_ms: 138280\n  - text: 'estará '\n    start_ms: 138740\n  - text: 'en '\n    start_ms: 139080\n  - text: fuego\n    start_ms: 139300\n- text: Se quedarán en el baño por una semana\n  start_ms: 139740\n  end_ms: 141580\n  words:\n  - text: 'Se '\n    start_ms: 139740\n  - text: 'quedarán '\n    start_ms: 139860\n  - text: 'en '\n    start_ms: 140260\n  - text: 'el '\n    start_ms: 140360\n  - text: 'baño '\n    start_ms: 140500\n  - text: 'por '\n    start_ms: 140780\n  - text: 'una '\n    start_ms: 140960\n  - text: semana\n    start_ms: 141160\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141960\n  end_ms: 144520\n  words:\n  - text: 'Entiendes '\n    start_ms: 141960\n  - text: 'lo '\n    start_ms: 142380\n  - text: 'que '\n    start_ms: 142500\n  - text: 'digo '\n    start_ms: 142700\n  - text: 'gringo '\n    start_ms: 143120\n  - text: 'estúpido '\n    start_ms: 143460\n  - text: tonto?\"\n    start_ms: 144020\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144820\n  end_ms: 146900\n  words:\n  - text: 'Well, '\n    start_ms: 144820\n  - text: 'the '\n    start_ms: 144960\n  - text: 'food '\n    start_ms: 145080\n  - text: 'is '\n    start_ms: 145300\n  - text: 'coming, '\n    start_ms: 145500\n  - text: 'I '\n    start_ms: 145960\n  - text: 'can '\n    start_ms: 146020\n  - text: 'hardly '\n    start_ms: 146160\n  - text: wait\n    start_ms: 146600\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147420\n  end_ms: 148920\n  words:\n  - text: 'Now '\n    start_ms: 147420\n  - text: 'watch '\n    start_ms: 147540\n  - text: 'your '\n    start_ms: 147720\n  - text: 'fingers, '\n    start_ms: 147820\n  - text: 'careful '\n    start_ms: 148120\n  - text: 'hot '\n    start_ms: 148400\n  - text: plate!\n    start_ms: 148620\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149230\n  end_ms: 151670\n  words:\n  - text: 'What '\n    start_ms: 149230\n  - text: 'you '\n    start_ms: 149410\n  - text: 'think '\n    start_ms: 149510\n  - text: 'you''re '\n    start_ms: 149690\n  - text: 'doing '\n    start_ms: 149990\n  - text: 'with '\n    start_ms: 150350\n  - text: 'my '\n    start_ms: 150470\n  - text: 'chile '\n    start_ms: 150610\n  - text: 'con '\n    start_ms: 150890\n  - text: queso?\n    start_ms: 151170\n- text: Well, if you want some, just say so\n  start_ms: 151920\n  end_ms: 153340\n  words:\n  - text: 'Well, '\n    start_ms: 151920\n  - text: 'if '\n    start_ms: 152100\n  - text: 'you '\n    start_ms: 152220\n  - text: 'want '\n    start_ms: 152320\n  - text: 'some, '\n    start_ms: 152480\n  - text: 'just '\n    start_ms: 152640\n  - text: 'say '\n    start_ms: 152880\n  - text: so\n    start_ms: 153180\n- text: Oh boy, pico de gallo\n  start_ms: 154070\n  end_ms: 156070\n  words:\n  - text: 'Oh '\n    start_ms: 154070\n  - text: 'boy, '\n    start_ms: 154430\n  - text: 'pico '\n    start_ms: 155290\n  - text: 'de '\n    start_ms: 155590\n  - text: gallo\n    start_ms: 155710\n- text: They sure don't make it like this in Ohio\n  start_ms: 156620\n  end_ms: 158530\n  words:\n  - text: 'They '\n    start_ms: 156620\n  - text: 'sure '\n    start_ms: 156718\n  - text: 'don''t '\n    start_ms: 156876\n  - text: 'make '\n    start_ms: 157053\n  - text: 'it '\n    start_ms: 157230\n  - text: 'like '\n    start_ms: 157309\n  - text: 'this '\n    start_ms: 157506\n  - text: 'in '\n    start_ms: 157782\n  - text: Ohio\n    start_ms: 157939\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158530\n  end_ms: 160910\n  words:\n  - text: 'No '\n    start_ms: 158530\n  - text: 'gracias, '\n    start_ms: 158690\n  - text: 'yo '\n    start_ms: 159250\n  - text: 'quiero '\n    start_ms: 159370\n  - text: 'jalepeños, '\n    start_ms: 159670\n  - text: 'nada '\n    start_ms: 160430\n  - text: más\n    start_ms: 160690\n- text: You can toss away the hot sauce\n  start_ms: 161030\n  end_ms: 162490\n  words:\n  - text: 'You '\n    start_ms: 161030\n  - text: 'can '\n    start_ms: 161130\n  - text: 'toss '\n    start_ms: 161290\n  - text: 'away '\n    start_ms: 161630\n  - text: 'the '\n    start_ms: 161850\n  - text: 'hot '\n    start_ms: 161950\n  - text: sauce\n    start_ms: 162230\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162980\n  end_ms: 165350\n  words:\n  - text: '¿Dónde '\n    start_ms: 163039\n  - text: 'están '\n    start_ms: 163313\n  - text: 'los '\n    start_ms: 163607\n  - text: 'nachos? '\n    start_ms: 163881\n  - text: 'Holy '\n    start_ms: 164645\n  - text: frijole!\n    start_ms: 164919\n- text: You better get me a bowl of guacamole\n  start_ms: 165350\n  end_ms: 167090\n  words:\n  - text: 'You '\n    start_ms: 165350\n  - text: 'better '\n    start_ms: 165470\n  - text: 'get '\n    start_ms: 165770\n  - text: 'me '\n    start_ms: 165930\n  - text: 'a '\n    start_ms: 166210\n  - text: 'bowl '\n    start_ms: 166310\n  - text: 'of '\n    start_ms: 166510\n  - text: guacamole\n    start_ms: 166590\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167390\n  end_ms: 169630\n  words:\n  - text: '¿Y '\n    start_ms: 167490\n  - text: 'usted, '\n    start_ms: 167570\n  - text: 'Eugene? '\n    start_ms: 167970\n  - text: 'Why''s '\n    start_ms: 168490\n  - text: 'your '\n    start_ms: 168670\n  - text: 'face '\n    start_ms: 168790\n  - text: 'turning '\n    start_ms: 168990\n  - text: green?\n    start_ms: 169250\n- text: Don't you like pinto bean?\n  start_ms: 170040\n  end_ms: 171440\n  words:\n  - text: 'Don''t '\n    start_ms: 170040\n  - text: 'you '\n    start_ms: 170220\n  - text: 'like '\n    start_ms: 170400\n  - text: 'pinto '\n    start_ms: 170780\n  - text: bean?\n    start_ms: 171080\n- text: You want some more cinnamon crispas?\n  start_ms: 171890\n  end_ms: 174390\n  words:\n  - text: 'You '\n    start_ms: 171890\n  - text: 'want '\n    start_ms: 172150\n  - text: 'some '\n    start_ms: 172450\n  - text: 'more '\n    start_ms: 172650\n  - text: 'cinnamon '\n    start_ms: 173410\n  - text: crispas?\n    start_ms: 173810\n- text: If you don't, hasta la vista\n  start_ms: 174670\n  end_ms: 175830\n  words:\n  - text: 'If '\n    start_ms: 174670\n  - text: 'you '\n    start_ms: 174790\n  - text: 'don''t, '\n    start_ms: 174930\n  - text: 'hasta '\n    start_ms: 175190\n  - text: 'la '\n    start_ms: 175470\n  - text: vista\n    start_ms: 175590\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176080\n  end_ms: 179300\n  words:\n  - text: 'Just '\n    start_ms: 176080\n  - text: 'take '\n    start_ms: 176320\n  - text: 'the '\n    start_ms: 176560\n  - text: 'rest '\n    start_ms: 176860\n  - text: 'home '\n    start_ms: 177140\n  - text: 'in '\n    start_ms: 177500\n  - text: 'a '\n    start_ms: 177660\n  - text: 'doggie '\n    start_ms: 177860\n  - text: 'bag '\n    start_ms: 178420\n  - text: 'if '\n    start_ms: 178720\n  - text: 'you '\n    start_ms: 178860\n  - text: wanna\n    start_ms: 179020\n- text: You can finish it mañana\n  start_ms: 179380\n  end_ms: 180560\n  words:\n  - text: 'You '\n    start_ms: 179380\n  - text: 'can '\n    start_ms: 179500\n  - text: 'finish '\n    start_ms: 179660\n  - text: 'it '\n    start_ms: 179940\n  - text: mañana\n    start_ms: 180060\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180800\n  end_ms: 183100\n  words:\n  - text: 'Well, '\n    start_ms: 180800\n  - text: 'it''s '\n    start_ms: 180980\n  - text: 'been '\n    start_ms: 181200\n  - text: 'a '\n    start_ms: 181420\n  - text: 'pleasure, '\n    start_ms: 181580\n  - text: 'I '\n    start_ms: 182060\n  - text: 'can''t '\n    start_ms: 182160\n  - text: 'eat '\n    start_ms: 182340\n  - text: 'no '\n    start_ms: 182560\n  - text: more\n    start_ms: 182760\n- text: Señor, la cuenta, por favor\n  start_ms: 183430\n  end_ms: 184610\n  words:\n  - text: 'Señor, '\n    start_ms: 183430\n  - text: 'la '\n    start_ms: 183710\n  - text: 'cuenta, '\n    start_ms: 183830\n  - text: 'por '\n    start_ms: 184130\n  - text: favor\n    start_ms: 184290\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185170\n  end_ms: 188360\n  words:\n  - text: 'If '\n    start_ms: 185170\n  - text: 'you '\n    start_ms: 185405\n  - text: 'ain''t '\n    start_ms: 185640\n  - text: 'tried '\n    start_ms: 186286\n  - text: 'real '\n    start_ms: 186638\n  - text: 'Mexican '\n    start_ms: 186892\n  - text: 'cooking, '\n    start_ms: 187440\n  - text: 'well, '\n    start_ms: 187812\n  - text: 'you '\n    start_ms: 187988\n  - text: oughta\n    start_ms: 188145\n- text: Just don't drink the water\n  start_ms: 188360\n  end_ms: 189420\n  words:\n  - text: 'Just '\n    start_ms: 188360\n  - text: 'don''t '\n    start_ms: 188600\n  - text: 'drink '\n    start_ms: 188740\n  - text: 'the '\n    start_ms: 188920\n  - text: water\n    start_ms: 189040\n- text: Taco\n  start_ms: 193560\n  end_ms: 197800\n  words:\n  - text: Taco\n    start_ms: 193560\n- text: Grande\n  start_ms: 198210\n  end_ms: 198770\n  words:\n  - text: Grande\n    start_ms: 198210\n- text: Taco\n  start_ms: 202640\n  end_ms: 206840\n  words:\n  - text: Taco\n    start_ms: 202640\n- text: Grande\n  start_ms: 207320\n  end_ms: 208120\n  words:\n  - text: Grande\n    start_ms: 207320\n- text: Taco\n  start_ms: 211670\n  end_ms: 211690\n  words:\n  - text: Taco\n    start_ms: 211670\n- text: Grande\n  start_ms: 216310\n  end_ms: 216430\n  words:\n  - text: Grande\n    start_ms: 216310\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":181434,"name":"Taco Grande","trackName":"Taco Grande","artistName":"\"Weird Al\" Yankovic","albumName":"Off The Deep End","duration":228.0,"instrumental":false,"hasWordSync":true,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:09.00] Taco\n[00:15.33] Grande\n[00:20.80] Taco\n[00:24.76] Grande\n[00:26.99] Yo quiero chimichangas y chile colorado\n[00:28.87] Yo tengo el dinero para un steak picado\n[00:31.29] Las flautas y tamales, siempre muy bueno\n[00:33.24] Y el chile relleno\n[00:35.20] You see, I just gotta have a tostada, carne asada\n[00:38.21] That's right, I want the whole enchilada\n[00:40.09] My only addiction has to do with a flour tortilla\n[00:42.81] I need a quesadilla\n[00:44.62] I love to stuff my face with tacos al carbón\n[00:46.70] With my friends, or when I'm all alone\n[00:49.43] Yo tengo mucho hambre y ahora lo quiero\n[00:51.45] Un burrito ranchero\n[00:53.40] So give me something spicy and hot, now\n[00:55.92] Break out the menu, what you got, now?\n[00:57.72] Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:00.75] You better make sure the beans are refried\n[01:02.52] Taco\n[01:08.36] Grande\n[01:11.60] Taco\n[01:17.69] Grande\n[01:20.15] Well, there's not a taco big enough for a man like me\n[01:23.08] That's why I order two or three\n[01:24.69] Let me give you a tip, just try a nacho chip\n[01:26.95] It's really good with bean dip\n[01:28.94] I eat uno, dos, tres, cuatro burritos\n[01:31.54] Pretty soon I can't fit in my Speedos\n[01:33.84] Well, I hope they feed us lots of chicken fajitas\n[01:36.24] And a pitcher of margaritas\n[01:38.08] Well, the combination plates all come with beans and rice\n[01:40.94] The taquitos here are very nice\n[01:42.51] Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:45.47] And could you make that separate checks, please?\n[01:48.32] Taco\n[01:53.62] Grande\n[01:57.94] Taco\n[02:02.56] Grande\n[02:05.47] \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:08.99] Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:14.98] Sus ojos se quemarán, su estomago estará en fuego\n[02:17.72] Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n[02:22.72] Well, the food is coming, I can hardly wait\n[02:24.99] Now watch your fingers, careful hot plate!\n[02:27.28] What you think you're doing with my chile con queso?\n[02:29.80] Well, if you want some, just say so\n[02:31.60] Oh boy, pico de gallo\n[02:34.16] They sure don't make it like this in Ohio\n[02:36.43] No gracias, yo quiero jalepeños, nada más\n[02:39.06] You can toss away the hot sauce\n[02:40.82] ¿Dónde están los nachos? Holy frijole!\n[02:42.95] You better get me a bowl of guacamole\n[02:45.25] ¿Y usted, Eugene? Why's your face turning green?\n[02:47.58] Don't you like pinto bean?\n[02:49.47] You want some more cinnamon crispas?\n[02:52.16] If you don't, hasta la vista\n[02:53.77] Just take the rest home in a doggie bag if you wanna\n[02:57.06] You can finish it mañana\n[02:58.52] Well, it's been a pleasure, I can't eat no more\n[03:00.81] Señor, la cuenta, por favor\n[03:02.85] If you ain't tried real Mexican cooking, well, you oughta\n[03:06.44] Just don't drink the water\n[03:10.08] Taco\n[03:14.85] Grande\n[03:19.09] Taco\n[03:23.22] Grande\n[03:27.98] Taco\n[03:32.83] Grande\n[03:37.08] ","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: '\"Weird Al\" Yankovic'\n  album: Off The Deep End\n  duration_ms: 228000\n  instrumental: false\n  language: en\nlines:\n- text: Taco\n  start_ms: 12240\n  end_ms: 12720\n  words:\n  - text: Taco\n    start_ms: 12240\n- text: Grande\n  start_ms: 16500\n  end_ms: 16500\n  words:\n  - text: Grande\n    start_ms: 16500\n- text: Taco\n  start_ms: 21190\n  end_ms: 21250\n  words:\n  - text: Taco\n    start_ms: 21190\n- text: Grande\n  start_ms: 25420\n  end_ms: 26380\n  words:\n  - text: Grande\n    start_ms: 25420\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26980\n  end_ms: 29060\n  words:\n  - text: 'Yo '\n    start_ms: 26980\n  - text: 'quiero '\n    start_ms: 27100\n  - text: 'chimichangas '\n    start_ms: 27380\n  - text: 'y '\n    start_ms: 28140\n  - text: 'chile '\n    start_ms: 28220\n  - text: colorado\n    start_ms: 28540\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 29250\n  end_ms: 31310\n  words:\n  - text: 'Yo '\n    start_ms: 29250\n  - text: 'tengo '\n    start_ms: 29370\n  - text: 'el '\n    start_ms: 29710\n  - text: 'dinero '\n    start_ms: 29830\n  - text: 'para '\n    start_ms: 30330\n  - text: 'un '\n    start_ms: 30570\n  - text: 'steak '\n    start_ms: 30690\n  - text: picado\n    start_ms: 30910\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31520\n  end_ms: 33720\n  words:\n  - text: 'Las '\n    start_ms: 31520\n  - text: 'flautas '\n    start_ms: 31660\n  - text: 'y '\n    start_ms: 32000\n  - text: 'tamales, '\n    start_ms: 32120\n  - text: 'siempre '\n    start_ms: 32659\n  - text: 'muy '\n    start_ms: 33100\n  - text: bueno\n    start_ms: 33320\n- text: Y el chile relleno\n  start_ms: 33910\n  end_ms: 35210\n  words:\n  - text: 'Y '\n    start_ms: 33910\n  - text: 'el '\n    start_ms: 34010\n  - text: 'chile '\n    start_ms: 34130\n  - text: relleno\n    start_ms: 34590\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35520\n  end_ms: 38400\n  words:\n  - text: 'You '\n    start_ms: 35520\n  - text: 'see, '\n    start_ms: 35620\n  - text: 'I '\n    start_ms: 35980\n  - text: 'just '\n    start_ms: 36120\n  - text: 'gotta '\n    start_ms: 36360\n  - text: 'have '\n    start_ms: 36760\n  - text: 'a '\n    start_ms: 36920\n  - text: 'tostada, '\n    start_ms: 37020\n  - text: 'carne '\n    start_ms: 37560\n  - text: asada\n    start_ms: 37940\n- text: That's right, I want the whole enchilada\n  start_ms: 38690\n  end_ms: 40230\n  words:\n  - text: 'That''s '\n    start_ms: 38690\n  - text: 'right, '\n    start_ms: 38890\n  - text: 'I '\n    start_ms: 39070\n  - text: 'want '\n    start_ms: 39130\n  - text: 'the '\n    start_ms: 39290\n  - text: 'whole '\n    start_ms: 39390\n  - text: enchilada\n    start_ms: 39610\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40570\n  end_ms: 43190\n  words:\n  - text: 'My '\n    start_ms: 40570\n  - text: 'only '\n    start_ms: 40750\n  - text: 'addiction '\n    start_ms: 41030\n  - text: 'has '\n    start_ms: 41530\n  - text: 'to '\n    start_ms: 41690\n  - text: 'do '\n    start_ms: 41830\n  - text: 'with '\n    start_ms: 41970\n  - text: 'a '\n    start_ms: 42070\n  - text: 'flour '\n    start_ms: 42190\n  - text: tortilla\n    start_ms: 42510\n- text: I need a quesadilla\n  start_ms: 43450\n  end_ms: 44550\n  words:\n  - text: 'I '\n    start_ms: 43450\n  - text: 'need '\n    start_ms: 43530\n  - text: 'a '\n    start_ms: 43710\n  - text: quesadilla\n    start_ms: 43810\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44740\n  end_ms: 47040\n  words:\n  - text: 'I '\n    start_ms: 44740\n  - text: 'love '\n    start_ms: 44800\n  - text: 'to '\n    start_ms: 44960\n  - text: 'stuff '\n    start_ms: 45080\n  - text: 'my '\n    start_ms: 45300\n  - text: 'face '\n    start_ms: 45540\n  - text: 'with '\n    start_ms: 45820\n  - text: 'tacos '\n    start_ms: 45960\n  - text: 'al '\n    start_ms: 46280\n  - text: carbón\n    start_ms: 46420\n- text: With my friends, or when I'm all alone\n  start_ms: 47510\n  end_ms: 49010\n  words:\n  - text: 'With '\n    start_ms: 47510\n  - text: 'my '\n    start_ms: 47630\n  - text: 'friends, '\n    start_ms: 47790\n  - text: 'or '\n    start_ms: 48110\n  - text: 'when '\n    start_ms: 48210\n  - text: 'I''m '\n    start_ms: 48390\n  - text: 'all '\n    start_ms: 48530\n  - text: alone\n    start_ms: 48670\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49450\n  end_ms: 51900\n  words:\n  - text: 'Yo '\n    start_ms: 49450\n  - text: 'tengo '\n    start_ms: 49567\n  - text: 'mucho '\n    start_ms: 49839\n  - text: 'hambre '\n    start_ms: 50306\n  - text: 'y '\n    start_ms: 50714\n  - text: 'ahora '\n    start_ms: 50831\n  - text: 'lo '\n    start_ms: 51161\n  - text: quiero\n    start_ms: 51453\n- text: Un burrito ranchero\n  start_ms: 51900\n  end_ms: 53300\n  words:\n  - text: 'Un '\n    start_ms: 51900\n  - text: 'burrito '\n    start_ms: 52020\n  - text: ranchero\n    start_ms: 52560\n- text: So give me something spicy and hot, now\n  start_ms: 54180\n  end_ms: 56680\n  words:\n  - text: 'So '\n    start_ms: 54180\n  - text: 'give '\n    start_ms: 54480\n  - text: 'me '\n    start_ms: 54760\n  - text: 'something '\n    start_ms: 55000\n  - text: 'spicy '\n    start_ms: 55440\n  - text: 'and '\n    start_ms: 55920\n  - text: 'hot, '\n    start_ms: 56120\n  - text: now\n    start_ms: 56420\n- text: Break out the menu, what you got, now?\n  start_ms: 56760\n  end_ms: 58280\n  words:\n  - text: 'Break '\n    start_ms: 56760\n  - text: 'out '\n    start_ms: 56960\n  - text: 'the '\n    start_ms: 57080\n  - text: 'menu, '\n    start_ms: 57200\n  - text: 'what '\n    start_ms: 57480\n  - text: 'you '\n    start_ms: 57660\n  - text: 'got, '\n    start_ms: 57780\n  - text: now?\n    start_ms: 58060\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 58780\n  end_ms: 61340\n  words:\n  - text: 'Oh, '\n    start_ms: 58780\n  - text: 'would '\n    start_ms: 58891\n  - text: 'you '\n    start_ms: 59040\n  - text: 'tell '\n    start_ms: 59151\n  - text: 'the '\n    start_ms: 59299\n  - text: 'waiter '\n    start_ms: 59411\n  - text: 'I''d '\n    start_ms: 59745\n  - text: 'like '\n    start_ms: 59893\n  - text: 'to '\n    start_ms: 60023\n  - text: 'have '\n    start_ms: 60171\n  - text: 'sour '\n    start_ms: 60338\n  - text: 'cream '\n    start_ms: 60579\n  - text: 'on '\n    start_ms: 60858\n  - text: 'the '\n    start_ms: 60932\n  - text: side\n    start_ms: 61080\n- text: You better make sure the beans are refried\n  start_ms: 61340\n  end_ms: 62840\n  words:\n  - text: 'You '\n    start_ms: 61340\n  - text: 'better '\n    start_ms: 61420\n  - text: 'make '\n    start_ms: 61560\n  - text: 'sure '\n    start_ms: 61700\n  - text: 'the '\n    start_ms: 61880\n  - text: 'beans '\n    start_ms: 61980\n  - text: 'are '\n    start_ms: 62200\n  - text: refried\n    start_ms: 62320\n- text: Taco\n  start_ms: 66880\n  end_ms: 67380\n  words:\n  - text: Taco\n    start_ms: 66880\n- text: Grande\n  start_ms: 71020\n  end_ms: 71860\n  words:\n  - text: Grande\n    start_ms: 71020\n- text: Taco\n  start_ms: 75850\n  end_ms: 76390\n  words:\n  - text: Taco\n    start_ms: 75850\n- text: Grande\n  start_ms: 80370\n  end_ms: 80370\n  words:\n  - text: Grande\n    start_ms: 80370\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 81210\n  end_ms: 83930\n  words:\n  - text: 'Well, '\n    start_ms: 81210\n  - text: 'there''s '\n    start_ms: 81330\n  - text: 'not '\n    start_ms: 81630\n  - text: 'a '\n    start_ms: 81890\n  - text: 'taco '\n    start_ms: 82050\n  - 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text: 'try '\n    start_ms: 86910\n  - text: 'a '\n    start_ms: 87110\n  - text: 'nacho '\n    start_ms: 87210\n  - text: chip\n    start_ms: 87710\n- text: It's really good with bean dip\n  start_ms: 88530\n  end_ms: 89750\n  words:\n  - text: 'It''s '\n    start_ms: 88530\n  - text: 'really '\n    start_ms: 88670\n  - text: 'good '\n    start_ms: 88930\n  - text: 'with '\n    start_ms: 89070\n  - text: 'bean '\n    start_ms: 89210\n  - text: dip\n    start_ms: 89490\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 90280\n  end_ms: 92820\n  words:\n  - text: 'I '\n    start_ms: 90280\n  - text: 'eat '\n    start_ms: 90400\n  - text: 'uno, '\n    start_ms: 90740\n  - text: 'dos, '\n    start_ms: 91120\n  - text: 'tres, '\n    start_ms: 91460\n  - text: 'cuatro '\n    start_ms: 91860\n  - text: burritos\n    start_ms: 92160\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 92940\n  end_ms: 94700\n  words:\n  - text: 'Pretty '\n    start_ms: 92940\n  - text: 'soon '\n    start_ms: 93240\n  - text: 'I '\n    start_ms: 93640\n  - text: 'can''t '\n    start_ms: 93780\n  - text: 'fit '\n    start_ms: 94060\n  - text: 'in '\n    start_ms: 94220\n  - text: 'my '\n    start_ms: 94300\n  - text: Speedos\n    start_ms: 94440\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 94790\n  end_ms: 97170\n  words:\n  - text: 'Well, '\n    start_ms: 94790\n  - text: 'I '\n    start_ms: 94970\n  - text: 'hope '\n    start_ms: 95050\n  - text: 'they '\n    start_ms: 95310\n  - text: 'feed '\n    start_ms: 95510\n  - text: 'us '\n    start_ms: 95770\n  - text: 'lots '\n    start_ms: 95870\n  - text: 'of '\n    start_ms: 96050\n  - text: 'chicken '\n    start_ms: 96150\n  - text: fajitas\n    start_ms: 96450\n- text: And a pitcher of margaritas\n  start_ms: 97520\n  end_ms: 99120\n  words:\n  - text: 'And '\n    start_ms: 97520\n  - text: 'a '\n    start_ms: 97700\n  - text: 'pitcher '\n    start_ms: 97820\n  - text: 'of '\n    start_ms: 98200\n  - text: margaritas\n    start_ms: 98240\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 99240\n  end_ms: 101860\n  words:\n  - text: 'Well, '\n    start_ms: 99240\n  - text: 'the '\n    start_ms: 99380\n  - text: 'combination '\n    start_ms: 99520\n  - text: 'plates '\n    start_ms: 100460\n  - text: 'all '\n    start_ms: 100780\n  - text: 'come '\n    start_ms: 100900\n  - text: 'with '\n    start_ms: 101040\n  - text: 'beans '\n    start_ms: 101200\n  - text: 'and '\n    start_ms: 101440\n  - text: rice\n    start_ms: 101620\n- text: The taquitos here are very nice\n  start_ms: 102080\n  end_ms: 103640\n  words:\n  - text: 'The '\n    start_ms: 102080\n  - text: 'taquitos '\n    start_ms: 102200\n  - text: 'here '\n    start_ms: 102780\n  - text: 'are '\n    start_ms: 102920\n  - text: 'very '\n    start_ms: 103040\n  - text: nice\n    start_ms: 103300\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 103950\n  end_ms: 106610\n  words:\n  - text: 'Now '\n    start_ms: 103950\n  - text: 'I''m '\n    start_ms: 104110\n  - text: 'down '\n    start_ms: 104210\n  - text: 'on '\n    start_ms: 104390\n  - text: 'my '\n    start_ms: 104510\n  - text: 'knees, '\n    start_ms: 104650\n  - text: 'we '\n    start_ms: 104970\n  - text: 'need '\n    start_ms: 105070\n  - text: 'some '\n    start_ms: 105210\n  - text: 'extra '\n    start_ms: 105390\n  - text: 'tomatoes '\n    start_ms: 105630\n  - text: 'and '\n    start_ms: 106130\n  - text: cheese\n    start_ms: 106310\n- text: And could you make that separate checks, please?\n  start_ms: 106830\n  end_ms: 108570\n  words:\n  - text: 'And '\n    start_ms: 106830\n  - text: 'could '\n    start_ms: 106930\n  - text: 'you '\n    start_ms: 107090\n  - text: 'make '\n    start_ms: 107170\n  - text: 'that '\n    start_ms: 107330\n  - text: 'separate '\n    start_ms: 107470\n  - text: 'checks, '\n    start_ms: 107770\n  - text: please?\n    start_ms: 108050\n- text: Taco\n  start_ms: 112130\n  end_ms: 112630\n  words:\n  - text: Taco\n    start_ms: 112130\n- text: Grande\n  start_ms: 116780\n  end_ms: 117800\n  words:\n  - text: Grande\n    start_ms: 116780\n- text: Taco\n  start_ms: 121150\n  end_ms: 121690\n  words:\n  - text: Taco\n    start_ms: 121150\n- text: Grande\n  start_ms: 125450\n  end_ms: 126290\n  words:\n  - text: Grande\n    start_ms: 125450\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 127070\n  end_ms: 130410\n  words:\n  - text: '\"Buenos '\n    start_ms: 127090\n  - text: 'noches, '\n    start_ms: 127350\n  - text: 'señor. '\n    start_ms: 127650\n  - text: 'bienvenido '\n    start_ms: 128190\n  - text: 'a '\n    start_ms: 128770\n  - text: 'Enrico''s '\n    start_ms: 128890\n  - text: 'Casa '\n    start_ms: 129629\n  - text: 'de '\n    start_ms: 129870\n  - text: Salsa\n    start_ms: 130009\n- text: Tenemos muchos platos muy sabrosos\n  start_ms: 130520\n  end_ms: 132240\n  words:\n  - text: 'Tenemos '\n    start_ms: 130520\n  - text: 'muchos '\n    start_ms: 130839\n  - text: 'platos '\n    start_ms: 131160\n  - text: 'muy '\n    start_ms: 131559\n  - text: sabrosos\n    start_ms: 131779\n- text: Si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 132710\n  end_ms: 136551\n  words:\n  - text: 'Si '\n    start_ms: 132710\n  - text: 'puedo '\n    start_ms: 132831\n  - text: 'recomendar '\n    start_ms: 133031\n  - text: 'el '\n    start_ms: 133611\n  - text: 'ardiente '\n    start_ms: 133771\n  - text: 'pollo '\n    start_ms: 134331\n  - text: 'al '\n    start_ms: 134651\n  - text: 'infierno '\n    start_ms: 134791\n  - text: 'muy '\n    start_ms: 135411\n  - text: delicioso\n    start_ms: 135751\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 136920\n  end_ms: 139560\n  words:\n  - text: 'Sus '\n    start_ms: 136920\n  - text: 'ojos '\n    start_ms: 137100\n  - text: 'se '\n    start_ms: 137340\n  - text: 'quemarán, '\n    start_ms: 137440\n  - text: 'su '\n    start_ms: 138200\n  - text: 'estomago '\n    start_ms: 138280\n  - text: 'estará '\n    start_ms: 138740\n  - text: 'en '\n    start_ms: 139080\n  - text: fuego\n    start_ms: 139300\n- text: Se quedarán en el baño por una semana\n  start_ms: 139740\n  end_ms: 141580\n  words:\n  - text: 'Se '\n    start_ms: 139740\n  - text: 'quedarán '\n    start_ms: 139860\n  - text: 'en '\n    start_ms: 140260\n  - text: 'el '\n    start_ms: 140360\n  - text: 'baño '\n    start_ms: 140500\n  - text: 'por '\n    start_ms: 140780\n  - text: 'una '\n    start_ms: 140960\n  - text: semana\n    start_ms: 141160\n- text: Entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 141960\n  end_ms: 144520\n  words:\n  - text: 'Entiendes '\n    start_ms: 141960\n  - text: 'lo '\n    start_ms: 142380\n  - text: 'que '\n    start_ms: 142500\n  - text: 'digo '\n    start_ms: 142700\n  - text: 'gringo '\n    start_ms: 143120\n  - text: 'estúpido '\n    start_ms: 143460\n  - text: tonto?\"\n    start_ms: 144020\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 144820\n  end_ms: 146900\n  words:\n  - text: 'Well, '\n    start_ms: 144820\n  - text: 'the '\n    start_ms: 144960\n  - text: 'food '\n    start_ms: 145080\n  - text: 'is '\n    start_ms: 145300\n  - text: 'coming, '\n    start_ms: 145500\n  - text: 'I '\n    start_ms: 145960\n  - text: 'can '\n    start_ms: 146020\n  - text: 'hardly '\n    start_ms: 146160\n  - text: wait\n    start_ms: 146600\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 147420\n  end_ms: 148920\n  words:\n  - text: 'Now '\n    start_ms: 147420\n  - text: 'watch '\n    start_ms: 147540\n  - text: 'your '\n    start_ms: 147720\n  - text: 'fingers, '\n    start_ms: 147820\n  - text: 'careful '\n    start_ms: 148120\n  - text: 'hot '\n    start_ms: 148400\n  - text: plate!\n    start_ms: 148620\n- text: What you think you're doing with my chile con queso?\n  start_ms: 149230\n  end_ms: 151670\n  words:\n  - text: 'What '\n    start_ms: 149230\n  - text: 'you '\n    start_ms: 149410\n  - text: 'think '\n    start_ms: 149510\n  - text: 'you''re '\n    start_ms: 149690\n  - text: 'doing '\n    start_ms: 149990\n  - text: 'with '\n    start_ms: 150350\n  - text: 'my '\n    start_ms: 150470\n  - text: 'chile '\n    start_ms: 150610\n  - text: 'con '\n    start_ms: 150890\n  - text: queso?\n    start_ms: 151170\n- text: Well, if you want some, just say so\n  start_ms: 151920\n  end_ms: 153340\n  words:\n  - text: 'Well, '\n    start_ms: 151920\n  - text: 'if '\n    start_ms: 152100\n  - text: 'you '\n    start_ms: 152220\n  - text: 'want '\n    start_ms: 152320\n  - text: 'some, '\n    start_ms: 152480\n  - text: 'just '\n    start_ms: 152640\n  - text: 'say '\n    start_ms: 152880\n  - text: so\n    start_ms: 153180\n- text: Oh boy, pico de gallo\n  start_ms: 154070\n  end_ms: 156070\n  words:\n  - text: 'Oh '\n    start_ms: 154070\n  - text: 'boy, '\n    start_ms: 154430\n  - text: 'pico '\n    start_ms: 155290\n  - text: 'de '\n    start_ms: 155590\n  - text: gallo\n    start_ms: 155710\n- text: They sure don't make it like this in Ohio\n  start_ms: 156620\n  end_ms: 158530\n  words:\n  - text: 'They '\n    start_ms: 156620\n  - text: 'sure '\n    start_ms: 156718\n  - text: 'don''t '\n    start_ms: 156876\n  - text: 'make '\n    start_ms: 157053\n  - text: 'it '\n    start_ms: 157230\n  - text: 'like '\n    start_ms: 157309\n  - text: 'this '\n    start_ms: 157506\n  - text: 'in '\n    start_ms: 157782\n  - text: Ohio\n    start_ms: 157939\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 158530\n  end_ms: 160910\n  words:\n  - text: 'No '\n    start_ms: 158530\n  - text: 'gracias, '\n    start_ms: 158690\n  - text: 'yo '\n    start_ms: 159250\n  - text: 'quiero '\n    start_ms: 159370\n  - text: 'jalepeños, '\n    start_ms: 159670\n  - text: 'nada '\n    start_ms: 160430\n  - text: más\n    start_ms: 160690\n- text: You can toss away the hot sauce\n  start_ms: 161030\n  end_ms: 162490\n  words:\n  - text: 'You '\n    start_ms: 161030\n  - text: 'can '\n    start_ms: 161130\n  - text: 'toss '\n    start_ms: 161290\n  - text: 'away '\n    start_ms: 161630\n  - text: 'the '\n    start_ms: 161850\n  - text: 'hot '\n    start_ms: 161950\n  - text: sauce\n    start_ms: 162230\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 162980\n  end_ms: 165350\n  words:\n  - text: '¿Dónde '\n    start_ms: 163039\n  - text: 'están '\n    start_ms: 163313\n  - text: 'los '\n    start_ms: 163607\n  - text: 'nachos? '\n    start_ms: 163881\n  - text: 'Holy '\n    start_ms: 164645\n  - text: frijole!\n    start_ms: 164919\n- text: You better get me a bowl of guacamole\n  start_ms: 165350\n  end_ms: 167090\n  words:\n  - text: 'You '\n    start_ms: 165350\n  - text: 'better '\n    start_ms: 165470\n  - text: 'get '\n    start_ms: 165770\n  - text: 'me '\n    start_ms: 165930\n  - text: 'a '\n    start_ms: 166210\n  - text: 'bowl '\n    start_ms: 166310\n  - text: 'of '\n    start_ms: 166510\n  - text: guacamole\n    start_ms: 166590\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 167390\n  end_ms: 169630\n  words:\n  - text: '¿Y '\n    start_ms: 167490\n  - text: 'usted, '\n    start_ms: 167570\n  - text: 'Eugene? '\n    start_ms: 167970\n  - text: 'Why''s '\n    start_ms: 168490\n  - text: 'your '\n    start_ms: 168670\n  - text: 'face '\n    start_ms: 168790\n  - text: 'turning '\n    start_ms: 168990\n  - text: green?\n    start_ms: 169250\n- text: Don't you like pinto bean?\n  start_ms: 170040\n  end_ms: 171440\n  words:\n  - text: 'Don''t '\n    start_ms: 170040\n  - text: 'you '\n    start_ms: 170220\n  - text: 'like '\n    start_ms: 170400\n  - text: 'pinto '\n    start_ms: 170780\n  - text: bean?\n    start_ms: 171080\n- text: You want some more cinnamon crispas?\n  start_ms: 171890\n  end_ms: 174390\n  words:\n  - text: 'You '\n    start_ms: 171890\n  - text: 'want '\n    start_ms: 172150\n  - text: 'some '\n    start_ms: 172450\n  - text: 'more '\n    start_ms: 172650\n  - text: 'cinnamon '\n    start_ms: 173410\n  - text: crispas?\n    start_ms: 173810\n- text: If you don't, hasta la vista\n  start_ms: 174670\n  end_ms: 175830\n  words:\n  - text: 'If '\n    start_ms: 174670\n  - text: 'you '\n    start_ms: 174790\n  - text: 'don''t, '\n    start_ms: 174930\n  - text: 'hasta '\n    start_ms: 175190\n  - text: 'la '\n    start_ms: 175470\n  - text: vista\n    start_ms: 175590\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 176080\n  end_ms: 179300\n  words:\n  - text: 'Just '\n    start_ms: 176080\n  - text: 'take '\n    start_ms: 176320\n  - text: 'the '\n    start_ms: 176560\n  - text: 'rest '\n    start_ms: 176860\n  - text: 'home '\n    start_ms: 177140\n  - text: 'in '\n    start_ms: 177500\n  - text: 'a '\n    start_ms: 177660\n  - text: 'doggie '\n    start_ms: 177860\n  - text: 'bag '\n    start_ms: 178420\n  - text: 'if '\n    start_ms: 178720\n  - text: 'you '\n    start_ms: 178860\n  - text: wanna\n    start_ms: 179020\n- text: You can finish it mañana\n  start_ms: 179380\n  end_ms: 180560\n  words:\n  - text: 'You '\n    start_ms: 179380\n  - text: 'can '\n    start_ms: 179500\n  - text: 'finish '\n    start_ms: 179660\n  - text: 'it '\n    start_ms: 179940\n  - text: mañana\n    start_ms: 180060\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 180800\n  end_ms: 183100\n  words:\n  - text: 'Well, '\n    start_ms: 180800\n  - text: 'it''s '\n    start_ms: 180980\n  - text: 'been '\n    start_ms: 181200\n  - text: 'a '\n    start_ms: 181420\n  - text: 'pleasure, '\n    start_ms: 181580\n  - text: 'I '\n    start_ms: 182060\n  - text: 'can''t '\n    start_ms: 182160\n  - text: 'eat '\n    start_ms: 182340\n  - text: 'no '\n    start_ms: 182560\n  - text: more\n    start_ms: 182760\n- text: Señor, la cuenta, por favor\n  start_ms: 183430\n  end_ms: 184610\n  words:\n  - text: 'Señor, '\n    start_ms: 183430\n  - text: 'la '\n    start_ms: 183710\n  - text: 'cuenta, '\n    start_ms: 183830\n  - text: 'por '\n    start_ms: 184130\n  - text: favor\n    start_ms: 184290\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 185170\n  end_ms: 188360\n  words:\n  - text: 'If '\n    start_ms: 185170\n  - text: 'you '\n    start_ms: 185405\n  - text: 'ain''t '\n    start_ms: 185640\n  - text: 'tried '\n    start_ms: 186286\n  - text: 'real '\n    start_ms: 186638\n  - text: 'Mexican '\n    start_ms: 186892\n  - text: 'cooking, '\n    start_ms: 187440\n  - text: 'well, '\n    start_ms: 187812\n  - text: 'you '\n    start_ms: 187988\n  - text: oughta\n    start_ms: 188145\n- text: Just don't drink the water\n  start_ms: 188360\n  end_ms: 189420\n  words:\n  - text: 'Just '\n    start_ms: 188360\n  - text: 'don''t '\n    start_ms: 188600\n  - text: 'drink '\n    start_ms: 188740\n  - text: 'the '\n    start_ms: 188920\n  - text: water\n    start_ms: 189040\n- text: Taco\n  start_ms: 193560\n  end_ms: 197800\n  words:\n  - text: Taco\n    start_ms: 193560\n- text: Grande\n  start_ms: 198210\n  end_ms: 198770\n  words:\n  - text: Grande\n    start_ms: 198210\n- text: Taco\n  start_ms: 202640\n  end_ms: 206840\n  words:\n  - text: Taco\n    start_ms: 202640\n- text: Grande\n  start_ms: 207320\n  end_ms: 208120\n  words:\n  - text: Grande\n    start_ms: 207320\n- text: Taco\n  start_ms: 211670\n  end_ms: 211690\n  words:\n  - text: Taco\n    start_ms: 211670\n- text: Grande\n  start_ms: 216310\n  end_ms: 216430\n  words:\n  - text: Grande\n    start_ms: 216310\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"},{"id":29382107,"name":"Taco Grande","trackName":"Taco Grande","artistName":"'Weird Al' Yankovic","albumName":"Permanent RecordIV","duration":227.0,"instrumental":false,"hasWordSync":false,"plainLyrics":"Taco\nGrande\nTaco\nGrande\n\nYo quiero chimichangas y chile colorado\nYo tengo el dinero para un steak picado\nLas flautas y tamales, siempre muy bueno\nY el chile relleno\n\nYou see, I just gotta have a tostada, carne asada\nThat's right, I want the whole enchilada\nMy only addiction has to do with a flour tortilla\nI need a quesadilla\n\nI love to stuff my face with tacos al carbón\nWith my friends, or when I'm all alone\nYo tengo mucho hambre y ahora lo quiero\nUn burrito ranchero\n\nSo give me something spicy and hot, now\nBreak out the menu, what you got, now?\nOh, would you tell the waiter I'd like to have sour cream on the side\nYou better make sure the beans are refried\n\nTaco\nGrande\nTaco\nGrande\n\nWell, there's not a taco big enough for a man like me\nThat's why I order two or three\nLet me give you a tip, just try a nacho chip\nIt's really good with bean dip\n\nI eat uno, dos, tres, cuatro burritos\nPretty soon I can't fit in my Speedos\nWell, I hope they feed us lots of chicken fajitas\nAnd a pitcher of margaritas\n\nWell, the combination plates all come with beans and rice\nThe taquitos here are very nice\nNow I'm down on my knees, we need some extra tomatoes and cheese\nAnd could you make that separate checks, please?\n\nTaco\nGrande\nTaco\nGrande\n\n\"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\nTenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\nSus ojos se quemarán, su estomago estará en fuego\nSe quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\nWell, the food is coming, I can hardly wait\nNow watch your fingers, careful hot plate!\nWhat you think you're doing with my chile con queso?\nWell, if you want some, just say so\n\nOh boy, pico de gallo\nThey sure don't make it like this in Ohio\nNo gracias, yo quiero jalepeños, nada más\nYou can toss away the hot sauce\n\n¿Dónde están los nachos? Holy frijole!\nYou better get me a bowl of guacamole\n¿Y usted, Eugene? Why's your face turning green?\nDon't you like pinto bean?\n\nYou want some more cinnamon crispas?\nIf you don't, hasta la vista\nJust take the rest home in a doggie bag if you wanna\nYou can finish it mañana\n\nWell, it's been a pleasure, I can't eat no more\nSeñor, la cuenta, por favor\nIf you ain't tried real Mexican cooking, well, you oughta\nJust don't drink the water\n\nTaco\nGrande\nTaco\nGrande\nTaco\nGrande","syncedLyrics":"[00:09.00] Taco\n[00:15.33] Grande\n[00:20.80] Taco\n[00:24.76] Grande\n[00:26.99] Yo quiero chimichangas y chile colorado\n[00:28.87] Yo tengo el dinero para un steak picado\n[00:31.29] Las flautas y tamales, siempre muy bueno\n[00:33.24] Y el chile relleno\n[00:35.20] You see, I just gotta have a tostada, carne asada\n[00:38.21] That's right, I want the whole enchilada\n[00:40.09] My only addiction has to do with a flour tortilla\n[00:42.81] I need a quesadilla\n[00:44.62] I love to stuff my face with tacos al carbón\n[00:46.70] With my friends, or when I'm all alone\n[00:49.43] Yo tengo mucho hambre y ahora lo quiero\n[00:51.45] Un burrito ranchero\n[00:53.40] So give me something spicy and hot, now\n[00:55.92] Break out the menu, what you got, now?\n[00:57.72] Oh, would you tell the waiter I'd like to have sour cream on the side\n[01:00.75] You better make sure the beans are refried\n[01:02.52] Taco\n[01:08.36] Grande\n[01:11.60] Taco\n[01:17.69] Grande\n[01:20.15] Well, there's not a taco big enough for a man like me\n[01:23.08] That's why I order two or three\n[01:24.69] Let me give you a tip, just try a nacho chip\n[01:26.95] It's really good with bean dip\n[01:28.94] I eat uno, dos, tres, cuatro burritos\n[01:31.54] Pretty soon I can't fit in my Speedos\n[01:33.84] Well, I hope they feed us lots of chicken fajitas\n[01:36.24] And a pitcher of margaritas\n[01:38.08] Well, the combination plates all come with beans and rice\n[01:40.94] The taquitos here are very nice\n[01:42.51] Now I'm down on my knees, we need some extra tomatoes and cheese\n[01:45.47] And could you make that separate checks, please?\n[01:48.32] Taco\n[01:53.62] Grande\n[01:57.94] Taco\n[02:02.56] Grande\n[02:05.47] \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n[02:08.99] Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n[02:14.98] Sus ojos se quemarán, su estomago estará en fuego\n[02:17.72] Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n[02:22.72] Well, the food is coming, I can hardly wait\n[02:24.99] Now watch your fingers, careful hot plate!\n[02:27.28] What you think you're doing with my chile con queso?\n[02:29.80] Well, if you want some, just say so\n[02:31.60] Oh boy, pico de gallo\n[02:34.16] They sure don't make it like this in Ohio\n[02:36.43] No gracias, yo quiero jalepeños, nada más\n[02:39.06] You can toss away the hot sauce\n[02:40.82] ¿Dónde están los nachos? Holy frijole!\n[02:42.95] You better get me a bowl of guacamole\n[02:45.25] ¿Y usted, Eugene? Why's your face turning green?\n[02:47.58] Don't you like pinto bean?\n[02:49.47] You want some more cinnamon crispas?\n[02:52.16] If you don't, hasta la vista\n[02:53.77] Just take the rest home in a doggie bag if you wanna\n[02:57.06] You can finish it mañana\n[02:58.52] Well, it's been a pleasure, I can't eat no more\n[03:00.81] Señor, la cuenta, por favor\n[03:02.85] If you ain't tried real Mexican cooking, well, you oughta\n[03:06.44] Just don't drink the water\n[03:10.08] Taco\n[03:14.85] Grande\n[03:19.09] Taco\n[03:23.22] Grande\n[03:27.98] Taco\n[03:32.83] Grande\n[03:37.08] ","lyricsfile":"version: '1.0'\nmetadata:\n  title: Taco Grande\n  artist: '''Weird Al'' Yankovic'\n  album: Permanent RecordIV\n  duration_ms: 227000\n  instrumental: false\nlines:\n- text: Taco\n  start_ms: 9000\n  end_ms: 15330\n- text: Grande\n  start_ms: 15330\n  end_ms: 20800\n- text: Taco\n  start_ms: 20800\n  end_ms: 24760\n- text: Grande\n  start_ms: 24760\n  end_ms: 26990\n- text: Yo quiero chimichangas y chile colorado\n  start_ms: 26990\n  end_ms: 28870\n- text: Yo tengo el dinero para un steak picado\n  start_ms: 28870\n  end_ms: 31290\n- text: Las flautas y tamales, siempre muy bueno\n  start_ms: 31290\n  end_ms: 33240\n- text: Y el chile relleno\n  start_ms: 33240\n  end_ms: 35200\n- text: You see, I just gotta have a tostada, carne asada\n  start_ms: 35200\n  end_ms: 38210\n- text: That's right, I want the whole enchilada\n  start_ms: 38210\n  end_ms: 40090\n- text: My only addiction has to do with a flour tortilla\n  start_ms: 40090\n  end_ms: 42810\n- text: I need a quesadilla\n  start_ms: 42810\n  end_ms: 44620\n- text: I love to stuff my face with tacos al carbón\n  start_ms: 44620\n  end_ms: 46700\n- text: With my friends, or when I'm all alone\n  start_ms: 46700\n  end_ms: 49430\n- text: Yo tengo mucho hambre y ahora lo quiero\n  start_ms: 49430\n  end_ms: 51450\n- text: Un burrito ranchero\n  start_ms: 51450\n  end_ms: 53400\n- text: So give me something spicy and hot, now\n  start_ms: 53400\n  end_ms: 55920\n- text: Break out the menu, what you got, now?\n  start_ms: 55920\n  end_ms: 57720\n- text: Oh, would you tell the waiter I'd like to have sour cream on the side\n  start_ms: 57720\n  end_ms: 60750\n- text: You better make sure the beans are refried\n  start_ms: 60750\n  end_ms: 62520\n- text: Taco\n  start_ms: 62520\n  end_ms: 68360\n- text: Grande\n  start_ms: 68360\n  end_ms: 71600\n- text: Taco\n  start_ms: 71600\n  end_ms: 77690\n- text: Grande\n  start_ms: 77690\n  end_ms: 80150\n- text: Well, there's not a taco big enough for a man like me\n  start_ms: 80150\n  end_ms: 83080\n- text: That's why I order two or three\n  start_ms: 83080\n  end_ms: 84690\n- text: Let me give you a tip, just try a nacho chip\n  start_ms: 84690\n  end_ms: 86950\n- text: It's really good with bean dip\n  start_ms: 86950\n  end_ms: 88940\n- text: I eat uno, dos, tres, cuatro burritos\n  start_ms: 88940\n  end_ms: 91540\n- text: Pretty soon I can't fit in my Speedos\n  start_ms: 91540\n  end_ms: 93840\n- text: Well, I hope they feed us lots of chicken fajitas\n  start_ms: 93840\n  end_ms: 96240\n- text: And a pitcher of margaritas\n  start_ms: 96240\n  end_ms: 98080\n- text: Well, the combination plates all come with beans and rice\n  start_ms: 98080\n  end_ms: 100940\n- text: The taquitos here are very nice\n  start_ms: 100940\n  end_ms: 102510\n- text: Now I'm down on my knees, we need some extra tomatoes and cheese\n  start_ms: 102510\n  end_ms: 105470\n- text: And could you make that separate checks, please?\n  start_ms: 105470\n  end_ms: 108320\n- text: Taco\n  start_ms: 108320\n  end_ms: 113620\n- text: Grande\n  start_ms: 113620\n  end_ms: 117940\n- text: Taco\n  start_ms: 117940\n  end_ms: 122560\n- text: Grande\n  start_ms: 122560\n  end_ms: 125470\n- text: '\"Buenos noches, señor. bienvenido a Enrico''s Casa de Salsa'\n  start_ms: 125470\n  end_ms: 128990\n- text: Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  start_ms: 128990\n  end_ms: 134980\n- text: Sus ojos se quemarán, su estomago estará en fuego\n  start_ms: 134980\n  end_ms: 137720\n- text: Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n  start_ms: 137720\n  end_ms: 142720\n- text: Well, the food is coming, I can hardly wait\n  start_ms: 142720\n  end_ms: 144990\n- text: Now watch your fingers, careful hot plate!\n  start_ms: 144990\n  end_ms: 147280\n- text: What you think you're doing with my chile con queso?\n  start_ms: 147280\n  end_ms: 149800\n- text: Well, if you want some, just say so\n  start_ms: 149800\n  end_ms: 151600\n- text: Oh boy, pico de gallo\n  start_ms: 151600\n  end_ms: 154160\n- text: They sure don't make it like this in Ohio\n  start_ms: 154160\n  end_ms: 156430\n- text: No gracias, yo quiero jalepeños, nada más\n  start_ms: 156430\n  end_ms: 159060\n- text: You can toss away the hot sauce\n  start_ms: 159060\n  end_ms: 160820\n- text: ¿Dónde están los nachos? Holy frijole!\n  start_ms: 160820\n  end_ms: 162950\n- text: You better get me a bowl of guacamole\n  start_ms: 162950\n  end_ms: 165250\n- text: ¿Y usted, Eugene? Why's your face turning green?\n  start_ms: 165250\n  end_ms: 167580\n- text: Don't you like pinto bean?\n  start_ms: 167580\n  end_ms: 169470\n- text: You want some more cinnamon crispas?\n  start_ms: 169470\n  end_ms: 172160\n- text: If you don't, hasta la vista\n  start_ms: 172160\n  end_ms: 173770\n- text: Just take the rest home in a doggie bag if you wanna\n  start_ms: 173770\n  end_ms: 177060\n- text: You can finish it mañana\n  start_ms: 177060\n  end_ms: 178520\n- text: Well, it's been a pleasure, I can't eat no more\n  start_ms: 178520\n  end_ms: 180810\n- text: Señor, la cuenta, por favor\n  start_ms: 180810\n  end_ms: 182850\n- text: If you ain't tried real Mexican cooking, well, you oughta\n  start_ms: 182850\n  end_ms: 186440\n- text: Just don't drink the water\n  start_ms: 186440\n  end_ms: 190080\n- text: Taco\n  start_ms: 190080\n  end_ms: 194850\n- text: Grande\n  start_ms: 194850\n  end_ms: 199090\n- text: Taco\n  start_ms: 199090\n  end_ms: 203220\n- text: Grande\n  start_ms: 203220\n  end_ms: 207980\n- text: Taco\n  start_ms: 207980\n  end_ms: 212830\n- text: Grande\n  start_ms: 212830\n  end_ms: 217080\n- text: ''\n  start_ms: 217080\nplain: |-\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Yo quiero chimichangas y chile colorado\n  Yo tengo el dinero para un steak picado\n  Las flautas y tamales, siempre muy bueno\n  Y el chile relleno\n\n  You see, I just gotta have a tostada, carne asada\n  That's right, I want the whole enchilada\n  My only addiction has to do with a flour tortilla\n  I need a quesadilla\n\n  I love to stuff my face with tacos al carbón\n  With my friends, or when I'm all alone\n  Yo tengo mucho hambre y ahora lo quiero\n  Un burrito ranchero\n\n  So give me something spicy and hot, now\n  Break out the menu, what you got, now?\n  Oh, would you tell the waiter I'd like to have sour cream on the side\n  You better make sure the beans are refried\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  Well, there's not a taco big enough for a man like me\n  That's why I order two or three\n  Let me give you a tip, just try a nacho chip\n  It's really good with bean dip\n\n  I eat uno, dos, tres, cuatro burritos\n  Pretty soon I can't fit in my Speedos\n  Well, I hope they feed us lots of chicken fajitas\n  And a pitcher of margaritas\n\n  Well, the combination plates all come with beans and rice\n  The taquitos here are very nice\n  Now I'm down on my knees, we need some extra tomatoes and cheese\n  And could you make that separate checks, please?\n\n  Taco\n  Grande\n  Taco\n  Grande\n\n  \"Buenos noches, señor. bienvenido a Enrico's Casa de Salsa\n  Tenemos muchos platos muy sabrosos si puedo recomendar el ardiente pollo al infierno muy delicioso\n  Sus ojos se quemarán, su estomago estará en fuego\n  Se quedarán en el baño por una semana, entiendes lo que digo gringo estúpido tonto?\"\n\n  Well, the food is coming, I can hardly wait\n  Now watch your fingers, careful hot plate!\n  What you think you're doing with my chile con queso?\n  Well, if you want some, just say so\n\n  Oh boy, pico de gallo\n  They sure don't make it like this in Ohio\n  No gracias, yo quiero jalepeños, nada más\n  You can toss away the hot sauce\n\n  ¿Dónde están los nachos? Holy frijole!\n  You better get me a bowl of guacamole\n  ¿Y usted, Eugene? Why's your face turning green?\n  Don't you like pinto bean?\n\n  You want some more cinnamon crispas?\n  If you don't, hasta la vista\n  Just take the rest home in a doggie bag if you wanna\n  You can finish it mañana\n\n  Well, it's been a pleasure, I can't eat no more\n  Señor, la cuenta, por favor\n  If you ain't tried real Mexican cooking, well, you oughta\n  Just don't drink the water\n\n  Taco\n  Grande\n  Taco\n  Grande\n  Taco\n  Grande\n"}]