English (UK) MFA dictionary v3.1.0#
@techreport{mfa_english_uk_mfa_dictionary_2024,
author={McAuliffe, Michael and Sonderegger, Morgan},
title={English (UK) MFA dictionary v3.1.0},
address={\url{https://mfa-models.readthedocs.io/pronunciation dictionary/English/English (UK) MFA dictionary v3_1_0.html}},
year={2024},
month={Jun},
}
|
Installation#
Install from the MFA command line:
mfa model download dictionary english_uk_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 (UK) MFA dictionary v3_1_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: 9,249 Examples: * mess: [m ɛ s] * mike: [m aj k] * maine: [m ej n] * seems: [s iː m z] Occurrences: 1,873 Examples: * mitch: [mʲ ɪ tʃ] * mia: [mʲ iː ə] * emits: [ɪ mʲ ɪ t s] * amish: [a mʲ ɪ ʃ] Occurrences: 10 Examples: * from: [f ɹ m̩] * them: [m̩] * him: [m̩] * album: [a ɫ b m̩] |
Occurrences: 19,806 Examples: * been: [bʲ ɪ n] * leone: [ʎ ɪ ə n] * jones: [dʒ əw n z] * nadi: [n ɑː dʲ i] Occurrences: 237 Examples: * open: [əw p n̩] * bryan: [b ɹ aj n̩] * asian: [ej ʒ n̩] * iron: [aj n̩] |
Occurrences: 3,296 Examples: * niall: [ɲ iː ɫ] * kneel: [ɲ iː ɫ] * menu: [m ɛ ɲ ʉː] * anise: [ə ɲ iː z] |
Occurrences: 3,947 Examples: * sang: [s a ŋ] * skunk: [s k ɐ ŋ k] * manga: [m a ŋ ɡ ə] * deng: [d ɛ ŋ] |
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Stop Plain |
Occurrences: 5,471 Examples: * epoch: [ɛ p ə k] * proto: [p ɹ əw tʰ əw] * maps: [m a p s] * prep: [p ɹ ɛ p] Occurrences: 318 Examples: * puris: [pʲ ʊ ɹ ɪ s] * purer: [pʲ ɒː ɹ ə] * opium: [əw pʲ i ə m] * spied: [s pʲ iː d] Occurrences: 4 Examples: Occurrences: 6,027 Examples: * burns: [b ɜː n z] * botha: [b əw θ ə] * sybil: [s ɪ b ə ɫ] * bound: [b aw n d] Occurrences: 1,170 Examples: * bix: [bʲ ɪ k s] * beet: [bʲ iː t] * cabby: [kʰ a bʲ i] * jubei: [dʒ ʉː bʲ iː] |
Occurrences: 93 Examples: * bath: [b ɑː t̪] * thing: [t̪ ɪ ŋ] * smith: [s mʲ ɪ t̪] * ninth: [n aj n t̪] Occurrences: 58 Examples: * this: [d̪ ɪ s] * the: [d̪ iː] * other: [ɐ d̪ ə] |
Occurrences: 12,350 Examples: * stow: [s t əw] * galt: [ɡ a ɫ t] * spots: [s p ɒ t s] * nests: [n ɛ s t s] Occurrences: 5,666 Examples: * parti: [pʰ ɑː tʲ i] * teel: [tʲ iː ɫ] * it'd: [ɪ tʲ ɪ d] * witty: [w ɪ tʲ i] Occurrences: 58 Examples: * tweak: [tʷ iː k] * twice: [tʷ aj s] * twins: [tʷ ɪ n z] * twig: [tʷ ɪ ɡ] Occurrences: 10,123 Examples: * jude: [dʒ ʉː d] * wolds: [w əw ɫ d z] * dyne: [d aj n] * damon: [d a m ə n] Occurrences: 3,350 Examples: * duty: [dʲ ʉː tʲ i] * dll: [dʲ iː ɛ ɫ ɛ ɫ] * ding: [dʲ ɪ ŋ] * dinah: [dʲ iː n ə] |
Occurrences: 2,118 Examples: * skate: [s c ej t] * krebs: [c ɹ ɛ b z] * clank: [c ʎ a ŋ k] * clio: [c ʎ iː əw] Occurrences: 180 Examples: * quint: [cʷ ɪ n t] * quill: [cʷ ɪ ɫ] * quid: [cʷ ɪ d] * quiz: [cʷ ɪ z] Occurrences: 916 Examples: * glib: [ɟ ʎ ɪ b] * green: [ɟ ɹ iː n] * geese: [ɟ iː s] * greed: [ɟ ɹ i d] Occurrences: 38 Examples: * guido: [ɟʷ iː d əw] * gwynn: [ɟʷ ɪ n] * gwin: [ɟʷ ɪ n] * gwen: [ɟʷ ɛ n] |
Occurrences: 7,490 Examples: * tic: [tʲ ɪ k] * yuca: [j ɐ k ə] * peake: [pʰ iː k] * radix: [ɹ ej dʲ ɪ k s] Occurrences: 335 Examples: * koala: [kʷ ɑː l ə] * quite: [kʷ aj t] * squad: [s kʷ ɒ d] Occurrences: 3,188 Examples: * gus: [ɡ ɐ s] * gecko: [ɡ ɛ kʰ əw] * edgar: [ɛ ɡ ə] * wigan: [w ɪ ɡ ə n] Occurrences: 42 Examples: * guam: [ɡʷ ɒ m] * guo: [ɡʷ əw] * guano: [ɡʷ ɑː n əw] |
Occurrences: 439 Examples: * note: [n əw ʔ] * that: [d̪ a ʔ] * pot: [pʰ ɒ ʔ] * but: [b ɐ ʔ] |
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Aspirated |
Occurrences: 3,260 Examples: * pan: [pʰ a n] * puppy: [pʰ ɐ pʲ i] * epoch: [iː pʰ ɒ k] * pith: [pʰ ɪ θ] |
Occurrences: 2,910 Examples: * tata: [tʰ ɑː t ə] * into: [ɪ n tʰ ʉː] * detox: [dʲ iː tʰ ɒ k s] * thai: [tʰ aj] |
Occurrences: 1,033 Examples: * kish: [cʰ ɪ ʃ] * kei: [cʰ ej] * kato: [cʰ ej tʰ əw] * ciara: [cʰ i ə ɹ ə] |
Occurrences: 4,304 Examples: * cad: [kʰ a d] * cara: [kʰ a ɹ ə] * curls: [kʰ ɜː ɫ z] * chaco: [tʃ a kʰ əw] |
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Affricate |
Occurrences: 1,881 Examples: * metro: [m ɛ tʃ ɹ əw] * cha: [tʃ ɑː] * beach: [bʲ iː tʃ] * trip: [tʃ ɹ ɪ p] Occurrences: 2,764 Examples: * hajj: [h ɐ dʒ] * juror: [dʒ ʊ ɹ ɒː] * jays: [dʒ ej z] * janus: [dʒ ej n ə s] |
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Sibilant |
Occurrences: 19,817 Examples: * venus: [vʲ iː n ə s] * fix: [fʲ ɪ k s] * sir: [s ɜː] * sang: [s a ŋ] Occurrences: 9,124 Examples: * tools: [tʲ ʉː ɫ z] * alms: [ɑː m z] * lures: [l ʊ ə z] * egos: [iː ɡ əw z] |
Occurrences: 3,971 Examples: * shaky: [ʃ ej c i] * tesh: [tʰ ɛ ʃ] * smash: [s m a ʃ] * pasha: [pʰ a ʃ ə] Occurrences: 284 Examples: * asian: [ej ʒ ə n] * gyro: [ʒ ɪ ɹ əw] * usury: [j ʉː ʒ ə ɹ i] * liege: [ʎ iː ʒ] |
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Fricative |
Occurrences: 4,216 Examples: * lofty: [l ɒ f tʲ i] * phage: [f ej dʒ] * facet: [f a s ɪ t] * from: [f ɹ m̩] Occurrences: 1,221 Examples: * finch: [fʲ ɪ n tʃ] * fused: [fʲ ʉː z d] * fisk: [fʲ ɪ s k] * comfy: [kʰ ɐ m fʲ i] Occurrences: 3,916 Examples: * hive: [h aj v] * avant: [a v ə n t] * cover: [kʰ ɐ v ə] * raven: [ɹ a v ə n] Occurrences: 334 Examples: * revue: [ɹ ə vʲ ʉː] * chevy: [tʃ ɛ vʲ i] * envy: [ɛ m vʲ i] * bevy: [b ɛ vʲ i] Occurrences: 3 Examples: |
Occurrences: 1,322 Examples: * toth: [tʰ ɒ θ] * ether: [iː θ ə] * wroth: [ɹ ɒ θ] * botha: [b əw θ ə] Occurrences: 327 Examples: * these: [ð iː z] * that: [ð a t] * them: [ð ɛ m] * meath: [mʲ iː ð] |
Occurrences: 539 Examples: * hill: [ç ɪ ɫ] * hip: [ç ɪ p] * heiau: [ç ej aw] * hilda: [ç ɪ ɫ d ə] |
Occurrences: 2,160 Examples: * home: [h əw m] * hank: [h a ŋ k] * huck: [h ɐ k] * hajj: [h ɐ dʒ] |
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Approximant |
Occurrences: 2,423 Examples: * ewa: [ɛ w ə] * what: [w ɒ t] * won't: [w əw n] * kuala: [kʰ ə w ɑː l ə] |
Occurrences: 15,365 Examples: * soros: [s ɒ ɹ ə s] * dream: [dʲ ɹ iː m] * trias: [t ɹ aj ə s] * throe: [θ ɹ əw] |
Occurrences: 739 Examples: * yen: [j ɛ n] * yoko: [j əw kʰ əw] * yes: [j ɛ s] * yams: [j ɑː m z] |
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Lateral |
Occurrences: 6,683 Examples: * islam: [ɪ z l ɑː m] * plays: [p l ej z] * lures: [l ɜː z] * bloch: [b l ɒ k] Occurrences: 6,421 Examples: * vogel: [f əw ɡ ə ɫ] * malls: [m ɒː ɫ z] * sepal: [s iː p ə ɫ] * daryl: [d a ɹ ɪ ɫ] Occurrences: 245 Examples: * model: [m ɒ d ɫ̩] * metal: [m ɛ t ɫ̩] * usual: [j ʉː ʒ ɫ̩] * title: [tʰ aj t ɫ̩] |
Occurrences: 4,954 Examples: * lured: [ʎ ɜː d] * tales: [tʰ ej ʎ iː z] * godly: [ɡ ɒ dʲ ʎ i] * kelly: [cʰ ɛ ʎ 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: 7,054 Examples: * carte: [kʰ ɑː tʲ i] * dally: [d a ʎ i] * mafia: [m a fʲ i ə] * weary: [w ɪ ɹ i] Occurrences: 4,480 Examples: * veto: [vʲ iː tʰ əw] * legal: [ʎ iː ɡ ə ɫ] * each: [iː tʃ] * shiva: [ʃ iː v ə] |
Occurrences: 427 Examples: * lucia: [l ʉ s iː ə] * mura: [m ʉ ɹ ə] * ruby: [ɹ ʉ bʲ i] * bellu: [b ɛ ʎ ʉ] Occurrences: 3,194 Examples: * luc: [l ʉː k] * pubic: [pʲ ʉː bʲ ɪ k] * tudo: [tʲ ʉː d əw] * wuhan: [w ʉː h ɑː n] |
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Occurrences: 25,536 Examples: * clink: [c ʎ ɪ ŋ k] * digby: [dʲ ɪ ɟ bʲ i] * runic: [ɹ ʉː ɲ ɪ k] * akins: [ə c ɪ n z] |
Occurrences: 1,612 Examples: * urea: [j ʊ ɹ ɪ ə] * bush: [b ʊ ʃ] * jury: [dʒ ʊ ɹ i] * bosom: [b ʊ z ə m] |
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Close-Mid |
Occurrences: 1 Examples: Occurrences: 6,098 Examples: * ages: [ej dʒ ɪ z] * ssh: [ɛ s ɛ s ej tʃ] * phage: [f ej dʒ] * brady: [b ɹ ej dʲ i] |
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Occurrences: 31,193 Examples: * evil: [iː v ə ɫ] * atoms: [a t ə m z] * idly: [aj d ə ʎ i] * noda: [n əw d ə] |
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Open-Mid |
Occurrences: 9,111 Examples: * fled: [f l ɛ d] * fred: [f ɹ ɛ d] * mezzo: [m ɛ d z əw] * teres: [tʰ ɛ ɹ ə z] Occurrences: 678 Examples: * yea: [j ɛː] * stair: [s t ɛː] * vary: [v ɛː ɹ i] * their: [d̪ ɛː] |
Occurrences: 95 Examples: * viera: [vʲ iː ɜ ɹ ə] * burj: [b ɜ dʒ] * herzl: [h ɜ t s ə ɫ] * turku: [tʰ ɜ k ʉː] Occurrences: 2,051 Examples: * germ: [dʒ ɜː m] * adieu: [ə dʲ ɜː] * dirks: [d ɜː k s] * birch: [b ɜː tʃ] |
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Occurrences: 3,822 Examples: * cuts: [kʰ ɐ t s] * hub: [h ɐ b] * burgh: [b ɐ ɹ ə] * dux: [d ɐ k s] |
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Open |
Occurrences: 8,314 Examples: * handy: [h a n dʲ i] * sass: [s a s] * zatch: [z a tʃ] * barry: [b a ɹ i] |
Occurrences: 314 Examples: * murad: [m ʊ ɹ ɑ d] * malak: [m ɑ l a k] * park: [pʰ ɑ k] * asean: [a z i ɑ n] Occurrences: 3,321 Examples: * flask: [f l ɑː s k] * dalek: [d ɑː l ɛ k] * argot: [ɑː ɡ əw] * hari: [h ɑː ɹ i] Occurrences: 5,692 Examples: * moxon: [m ɒ k s ə n] * frock: [f ɹ ɒ k] * bahia: [b ɒ iː ə] * offs: [ɒ f s] Occurrences: 3,250 Examples: * gaunt: [ɡ ɒː n t] * ores: [ɒː z] * maude: [m ɒː d] * tall: [tʰ ɒː ɫ] |
Diphthongs#
aj
aw
ej
ɔj
əw