English (US) MFA dictionary v3.0.0#
@techreport{mfa_english_us_mfa_dictionary_2024,
author={McAuliffe, Michael and Sonderegger, Morgan},
title={English (US) MFA dictionary v3.0.0},
address={\url{https://mfa-models.readthedocs.io/pronunciation dictionary/English/English (US) MFA dictionary v3_0_0.html}},
year={2024},
month={Feb},
}
G2P models |
Installation#
Install from the MFA command line:
mfa model download dictionary english_us_mfa
Or download from the release page.
The dictionary available from the release page and command line installation has pronunciation and silence probabilities estimated as part acoustic model training (see Silence probability format and training pronunciation probabilities for more information. If you would like to use the version of this dictionary without probabilities, please see the [plain dictionary](https://raw.githubusercontent.com/MontrealCorpusTools/mfa-models/main/dictionary/english/mfa/English (US) MFA dictionary v3_0_0.dict).
Intended use#
This dictionary is intended for forced alignment of English transcripts.
This dictionary uses the MFA phone set for English, and was used in training the English MFA acoustic model. Pronunciations can be added on top of the dictionary, as long as no additional phones are introduced.
Performance Factors#
When trying to get better alignment accuracy, adding pronunciations is generally helpful, especially for different styles and dialects. The most impactful improvements will generally be seen when adding reduced variants that involve deleting segments/syllables common in spontaneous speech. Alignment must include all phones specified in the pronunciation of a word, and each phone has a minimum duration (by default 10ms). If a speaker pronounces a multisyllabic word with just a single syllable, it can be hard for MFA to fit all the segments in, so it will lead to alignment errors on adjacent words as well.
Ethical considerations#
Deploying any Speech-to-Text model into any production setting has ethical implications. You should consider these implications before use.
Demographic Bias#
You should assume every machine learning model has demographic bias unless proven otherwise. For pronunciation dictionaries, it is often the case that transcription accuracy and lexicon coverage for the prestige variety modeled in this dictionary compared to other variants. If you are using this dictionary in production, you should acknowledge this as a potential issue.
IPA Charts#
Consonants#
Obstruent symbols to the left of are unvoiced and those to the right are voiced.
Manner |
Labial |
Labiodental |
Dental |
Alveolar |
Alveopalatal |
Palatal |
Velar |
Glottal |
---|---|---|---|---|---|---|---|---|
Nasal |
Occurrences: 17,807 Examples: * mares: [m ɛ ɹ z] * murr: [m ɝ] * amps: [æ m p s] * morey: [m ɒ ɹ i] Occurrences: 3,365 Examples: * mammy: [m æ mʲ i] * sami: [s ɑː mʲ i] * mien: [mʲ iː n] * cameo: [cʰ æ mʲ i ow] Occurrences: 17 Examples: * mmhm: [m ʔ m̩] * from: [f ɹ m̩] * him: [m̩] |
Occurrences: 3 Examples: |
Occurrences: 35,173 Examples: * inter: [ɪ n tʰ ɝ] * vin: [vʲ ɪ n] * snore: [s n ɒ ɹ] * pints: [pʰ aj n t s] Occurrences: 148 Examples: * iron: [aj ɹ n̩] * want: [w n̩ t] * and: [n̩ d] * even: [iː v n̩] |
Occurrences: 7,279 Examples: * units: [j ʉː ɲ ɪ t s] * gnu: [ɲ ʉː] * neve: [ɲ iː v] * beany: [bʲ iː ɲ i] |
Occurrences: 7,625 Examples: * thong: [θ ɑ ŋ] * swink: [s w ɪ ŋ k] * wonka: [w ɐ ŋ k ə] * clink: [c ʎ ɪ ŋ k] |
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Stop Plain |
Occurrences: 8,937 Examples: * prong: [p ɹ ɑ ŋ] * cop: [kʰ ɑ p] * cropt: [k ɹ ɑ p t] * romp: [ɹ ɑ m p] Occurrences: 1,796 Examples: * puree: [pʲ ʊ ɹ ej] * tepid: [tʰ ɛ pʲ ɪ d] * mappy: [m æ pʲ i] * hopi: [h ow pʲ i] Occurrences: 12 Examples: * puy: [pʷ iː] Occurrences: 11,568 Examples: * abba: [æ b ə] * bram: [b ɹ æ m] * lube: [ʎ ʉː b] * breve: [b ɹ ɛ v] Occurrences: 2,604 Examples: * canby: [cʰ æ n bʲ i] * colby: [kʰ ow ɫ bʲ i] * rebbe: [ɹ ɛ bʲ i] * niobe: [n aj ow bʲ i] |
Occurrences: 88 Examples: * throw: [t̪ ɹ ow] * think: [t̪ ɪ ŋ k] * mouth: [m aw t̪] * north: [n ɒ ɹ t̪] Occurrences: 51 Examples: * those: [d̪ ow z] * their: [d̪ ɚ] * these: [d̪ iː z] * there: [d̪ ɚ] |
Occurrences: 23,428 Examples: * tilt: [tʲ ɪ ɫ t] * mart: [m ɑ ɹ t] * celt: [cʰ ɛ ɫ t] * pasta: [pʰ ɑ s t ə] Occurrences: 9,364 Examples: * until: [ɐ n tʲ ɪ ɫ] * footy: [f ʊ tʲ i] * ott: [ow tʲ iː tʲ iː] * stint: [s tʲ ɪ n t] Occurrences: 150 Examples: * twist: [tʷ ɪ s t] * twere: [tʷ ɛ ɹ] * twit: [tʷ ɪ t] * tweak: [tʷ iː k] Occurrences: 17,704 Examples: * weed: [w iː d] * wilde: [w aj ɫ d] * feeds: [fʲ iː d z] * honed: [h ow n d] Occurrences: 5,692 Examples: * oddie: [ɑ dʲ i] * dylan: [dʲ ɪ l ə n] * dips: [dʲ ɪ p s] * heady: [h ɛ dʲ i] |
Occurrences: 4,510 Examples: * crane: [c ɹ ej n] * pinky: [pʰ ɪ ɲ c i] * cribs: [c ɹ ɪ b z] * tukey: [tʰ ʉː c i] Occurrences: 511 Examples: * quin: [cʷ ɪ n] * query: [cʷ ɪ ɹ i] * squib: [s cʷ ɪ b] * quit: [cʷ ɪ] Occurrences: 2,760 Examples: * glean: [ɟ ʎ iː n] * geek: [ɟ iː k] * gules: [ɟ ʉ ɫ z] * grier: [ɟ ɹ ɪ ɹ] Occurrences: 91 Examples: * guido: [ɟʷ i d ow] * gwen: [ɟʷ ɛ n] * gwilt: [ɟʷ ɪ ɫ t] * gwent: [ɟʷ ɛ n t] |
Occurrences: 13,789 Examples: * linc: [ʎ ɪ ŋ k] * panic: [pʰ æ ɲ ɪ k] * lucha: [ʎ ʉː k ə] * flick: [fʲ ʎ ɪ k] Occurrences: 549 Examples: * quays: [kʷ ej z] * quake: [kʷ ej k] * quaff: [kʷ ɒ f] * quite: [kʷ aj] Occurrences: 5,327 Examples: * mingo: [mʲ ɪ ŋ ɡ ow] * goth: [ɡ ɑ θ] * begum: [b ə ɡ ɐ m] * sig: [s ɪ ɡ] Occurrences: 71 Examples: * guam: [ɡʷ ɑ m] * guava: [ɡʷ ɑ v ə] * guan: [ɡʷ ɑ n] * guano: [ɡʷ ɑː n ow] |
Occurrences: 124 Examples: * that: [d̪ æ ʔ] * shut: [ʃ ɐ ʔ] * got: [ɡ ɑ ʔ] * bit: [bʲ ɪ ʔ] |
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Aspirated |
Occurrences: 6,016 Examples: * pump: [pʰ ɐ m p] * pcp: [pʰ iː s iː pʰ iː] * pale: [pʰ ej ɫ] * pave: [pʰ ej v] |
Occurrences: 5,458 Examples: * tartu: [tʰ ɑ ɹ tʰ ʉ] * taupo: [tʰ aw p ow] * talk: [tʰ ɒ k] * telex: [tʰ ɛ l ɛ k s] |
Occurrences: 3,335 Examples: * cache: [cʰ æ ʃ ej] * quay: [cʰ iː] * kiev: [cʰ iː ɛ f] * kit: [cʰ ɪ t] |
Occurrences: 5,529 Examples: * kong: [kʰ ɑ ŋ] * codec: [kʰ ow d ɛ k] * cocks: [kʰ ɑ k s] * cornu: [kʰ ɒ ɹ ɲ ʉ] |
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Affricate |
Occurrences: 3,430 Examples: * lynch: [ʎ ɪ n tʃ] * situ: [s iː tʃ ʉ] * chaus: [tʃ aw s] * true: [tʃ ʉ] Occurrences: 5,021 Examples: * jex: [dʒ ɛ k s] * jammu: [dʒ æ m ʉ] * jimi: [dʒ ɪ mʲ i] * ginny: [dʒ ɪ ɲ i] |
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Sibilant |
Occurrences: 37,358 Examples: * orse: [ɒ ɹ s] * sith: [s iː θ] * oops: [ʉː p s] * quits: [cʷ ɪ t s] Occurrences: 16,239 Examples: * diggs: [dʲ ɪ ɡ z] * bobs: [b ɑ b z] * they: [z ej] * wins: [w ɪ n z] |
Occurrences: 7,000 Examples: * shame: [ʃ ej m] * shot: [ʃ ɑ ʔ] * sherd: [ʃ ɝ d] * shout: [ʃ aw t] Occurrences: 565 Examples: * mysia: [mʲ ɪ ʒ ə] * loge: [l ow ʒ] * usual: [j ʉː ʒ ʊ ɫ̩] * zhao: [ʒ aw] |
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Fricative |
Occurrences: 8,365 Examples: * poof: [pʰ ʉː f] * cufa: [kʰ ɐ f ə] * quaff: [kʷ ɒ f] * fand: [f æ n d] Occurrences: 2,216 Examples: * fits: [fʲ ɪ t s] * feces: [fʲ iː s iː z] * feeds: [fʲ iː d z] * fused: [fʲ ʉː z d] Occurrences: 5,741 Examples: * viler: [v aj l ɚ] * mover: [m ʉː v ɚ] * dive: [d aj v] * kiev: [cʰ iː ɛ v] Occurrences: 1,756 Examples: * vida: [vʲ ɪ d ə] * levin: [l ɛ vʲ ɪ n] * covey: [kʰ ɐ vʲ i] * vis: [vʲ ɪ s] |
Occurrences: 2,565 Examples: * leath: [ʎ i θ] * ith: [ɪ θ] * troth: [t ɹ ow θ] * faith: [f ej θ] Occurrences: 646 Examples: * lathe: [l ej ð] * then: [ð ɪ n] * hythe: [h aj ð] * their: [ð ɛ ɹ] |
Occurrences: 988 Examples: * heels: [ç iː ɫ z] * hayat: [ç ej ɑ t] * higgs: [ç ɪ ɡ z] * helix: [ç iː ʎ ɪ k s] |
Occurrences: 3,790 Examples: * hurts: [h ɝ t s] * hyoid: [h aj ɔj d] * horde: [h ɒ ɹ d] * hacks: [h æ k s] |
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Approximant |
Occurrences: 4,539 Examples: * swap: [s w ɑː p] * swart: [s w ɒ ɹ t] * wets: [w ɛ t s] * widdy: [w ɪ dʲ i] |
Occurrences: 35,999 Examples: * graff: [ɟ ɹ æ f] * rise: [ɹ aj z] * track: [t ɹ æ k] * deere: [dʲ ɪ ɹ] |
Occurrences: 1,172 Examples: * years: [j ɪ ɹ z] * uriah: [j ʊ ɹ aj ə] * ufos: [j ʉː ɛ f ow z] * yeh: [j ɛ] |
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Tap |
Occurrences: 170 Examples: * hide: [h aj ɾ] * older: [ow ɫ ɾ ɚ] * motor: [m ow ɾ ɚ] * kid: [cʰ ɪ ɾ] Occurrences: 119 Examples: * party: [pʰ ɑ ɹ ɾʲ i] * dated: [d ej ɾʲ ɪ d] * study: [s t ɐ ɾʲ i] * added: [æ ɾʲ ɪ d] Occurrences: 76 Examples: * wanna: [w ə ɾ̃ ə] * eenie: [iː ɾ̃ i] * gonna: [ɡ ə ɾ̃ ə] * ended: [ɛ ɾ̃ ɪ ɾ] |
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Lateral |
Occurrences: 12,457 Examples: * flag: [f l æ ɡ] * pluck: [p l ɐ k] * valet: [v æ l ej] * latte: [l æ tʰ ej] Occurrences: 11,333 Examples: * hells: [h ɛ ɫ z] * bulks: [b ɐ ɫ k s] * ultra: [ɐ ɫ t ɹ ə] * deal: [dʲ ɪ ɫ] Occurrences: 104 Examples: * awful: [ɒ f ɫ̩] * total: [tʰ ow ɾ ɫ̩] * it'll: [ɪ ɾ ɫ̩] * til: [t ɫ̩] |
Occurrences: 9,986 Examples: * lyric: [ʎ ɪ ɹ ɪ k] * licks: [ʎ ɪ k s] * lydia: [ʎ ɪ dʲ i ə] * lippy: [ʎ ɪ pʲ i] |
Vowels#
Vowel symbols to the left of are unrounded and those to the right are rounded.
Front |
Near-Front |
Central |
Near-Back |
Back |
|
---|---|---|---|---|---|
Close |
Occurrences: 16,954 Examples: * italy: [ɪ t ə ʎ i] * brazy: [b ɹ ej z i] * miny: [mʲ ɪ ɲ i] * guido: [ɟʷ i d ow] Occurrences: 6,488 Examples: * devon: [dʲ iː v ə n] * healy: [ç iː ʎ i] * vns: [vʲ iː ɛ n ɛ s] * aweel: [ə w iː ɫ] |
Occurrences: 2,305 Examples: * situ: [s iː tʃ ʉ] * sudan: [s ʉ d ɑ n] * zumba: [z ʉ m b ə] * judo: [dʒ ʉ d ow] Occurrences: 4,765 Examples: * knew: [ɲ ʉː] * clew: [c ʎ ʉː] * numen: [n ʉː m ə n] * rules: [ɹ ʉː ɫ z] |
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Occurrences: 45,698 Examples: * gases: [ɡ æ s ɪ z] * rim: [ɹ ɪ m] * kiddo: [cʰ ɪ d ow] * print: [p ɹ ɪ n t] |
Occurrences: 2,577 Examples: * woof: [w ʊ f] * yuri: [j ʊ ɹ i] * muran: [m ʊ ɹ ə n] * puri: [pʲ ʊ ɹ i] |
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Close-Mid |
Occurrences: 11,519 Examples: * chaus: [cʰ ej ɐ s] * melee: [m ə l ej] * basel: [b ej s ə ɫ] * beta: [b ej t ə] |
Occurrences: 10,348 Examples: * brose: [b ɹ ow z] * sew: [s ow] * tarot: [tʰ ɛ ɹ ow] * barco: [b ɑ ɹ k ow] |
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Occurrences: 47,987 Examples: * mesas: [m ej s ə s] * alum: [æ l ə m] * tonia: [tʰ ow ɲ i ə] * bevan: [b ɛ v ə n] Occurrences: 10,110 Examples: * hamer: [h ej m ɚ] * femur: [fʲ iː m ɚ] * meter: [mʲ iː ɾ ɚ] * bhaer: [b ej ɚ] |
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Open-Mid |
Occurrences: 19,196 Examples: * hen: [h ɛ n] * hex: [h ɛ k s] * any: [ɛ ɲ i] * nzt: [ɛ n z iː tʲ iː] |
Occurrences: 3,570 Examples: * herm: [h ɝ m] * verve: [v ɝ ɹ v] * third: [t̪ ɝ d] * dern: [d ɝ n] |
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Occurrences: 16,270 Examples: * waxed: [w æ k s t] * hasan: [h ə s æ n] * hanse: [h æ n z ə] * fact: [f æ k t] |
Occurrences: 7,606 Examples: * cuff: [kʰ ɐ f] * qatar: [kʰ ɐ t ɚ] * plug: [p l ɐ ɡ] * gub: [ɡ ɐ b] |
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Open |
Occurrences: 0 Examples: Occurrences: 22 Examples: * like: [l aː k] * rise: [ɹ aː s] * types: [tʰ aː p s] * might: [m aː t] |
Occurrences: 10,888 Examples: * tall: [tʰ ɑ ɫ] * saucy: [s ɑ s i] * longo: [l ɑ ŋ ɡ ow] * kart: [kʰ ɑ ɹ t] Occurrences: 2,496 Examples: * lager: [l ɑː ɡ ɚ] * olaf: [ow l ɑː f] * capri: [kʰ ɑː p ɹ i] * baden: [b ɑː d ə n] Occurrences: 5,421 Examples: * porky: [pʰ ɒ ɹ c i] * laura: [l ɒ ɹ ə] * dorky: [d ɒ ɹ c i] * lory: [l ɒ ɹ i] Occurrences: 1,603 Examples: * audi: [ɒː dʲ i] * hogg: [h ɒː ɡ] * auld: [ɒː ɫ d] * rall: [ɹ ɒː ɫ] |
Diphthongs#
aj
aw
ej
ow
ɔj