English (US) MFA dictionary v3.0.0#

  • Maintainer: Montreal Forced Aligner

  • Language: English

  • Dialect: General American English

  • Phone set: MFA

  • Number of words: 80,723

  • Phones: aj aw b c d ej f h i j k l m n ow p s t v w z æ ç ð ŋ ɐ ɑ ɑː ɒ ɒː ɔj ə ɚ ɛ ɝ ɟ ɟʷ ɡ ɡʷ ɪ ɫ ɫ̩ ɱ ɲ ɹ ɾ ɾʲ ɾ̃ ʃ ʉ ʉː ʊ ʎ ʒ ʔ θ

  • License: CC BY 4.0

  • Compatible MFA version: v3.0.0

  • Citation:

@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},
}
../../_images/full_logo_yellow.svg

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 i]
* sami:
[s ɑː i]
* mien:
[ n]
* cameo:
[ æ i ow]
Occurrences:
17
Examples:
* mmhm:
[m ʔ ]
* from:
[f ɹ ]
* him:
[]
Occurrences:
3
Examples:
Occurrences:
35,173
Examples:
* inter:
[ɪ n ɝ]
* vin:
[ ɪ n]
* snore:
[s n ɒ ɹ]
* pints:
[ aj n t s]
Occurrences:
148
Examples:
* iron:
[aj ɹ ]
* want:
[w t]
* and:
[ d]
* even:
[ v ]
Occurrences:
7,279
Examples:
* units:
[j ʉː ɲ ɪ t s]
* gnu:
[ɲ ʉː]
* neve:
[ɲ v]
* beany:
[ 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]

Stop Plain

Occurrences:
8,937
Examples:
* prong:
[p ɹ ɑ ŋ]
* cop:
[ ɑ p]
* cropt:
[k ɹ ɑ p t]
* romp:
[ɹ ɑ m p]
Occurrences:
1,796
Examples:
* puree:
[ ʊ ɹ ej]
* tepid:
[ ɛ ɪ d]
* mappy:
[m æ i]
* hopi:
[h ow i]
Occurrences:
12
Examples:
* puy:
[ ]
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:
[ æ n i]
* colby:
[ ow ɫ i]
* rebbe:
[ɹ ɛ i]
* niobe:
[n aj ow i]
Occurrences:
88
Examples:
* throw:
[ ɹ ow]
* think:
[ ɪ ŋ k]
* mouth:
[m aw ]
* north:
[n ɒ ɹ ]
Occurrences:
51
Examples:
* those:
[ ow z]
* their:
[ ɚ]
* these:
[ z]
* there:
[ ɚ]
Occurrences:
23,428
Examples:
* tilt:
[ ɪ ɫ t]
* mart:
[m ɑ ɹ t]
* celt:
[ ɛ ɫ t]
* pasta:
[ ɑ s t ə]
Occurrences:
9,364
Examples:
* until:
[ɐ n ɪ ɫ]
* footy:
[f ʊ i]
* ott:
[ow ]
* stint:
[s ɪ n t]
Occurrences:
150
Examples:
* twist:
[ ɪ s t]
* twere:
[ ɛ ɹ]
* twit:
[ ɪ t]
* tweak:
[ k]
Occurrences:
17,704
Examples:
* weed:
[w d]
* wilde:
[w aj ɫ d]
* feeds:
[ d z]
* honed:
[h ow n d]
Occurrences:
5,692
Examples:
* oddie:
[ɑ i]
* dylan:
[ ɪ l ə n]
* dips:
[ ɪ p s]
* heady:
[h ɛ i]
Occurrences:
4,510
Examples:
* crane:
[c ɹ ej n]
* pinky:
[ ɪ ɲ c i]
* cribs:
[c ɹ ɪ b z]
* tukey:
[ ʉː c i]
Occurrences:
511
Examples:
* quin:
[ ɪ n]
* query:
[ ɪ ɹ i]
* squib:
[s ɪ b]
* quit:
[ ɪ]
Occurrences:
2,760
Examples:
* glean:
[ɟ ʎ n]
* geek:
[ɟ 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:
[ æ ɲ ɪ k]
* lucha:
[ʎ ʉː k ə]
* flick:
[ ʎ ɪ k]
Occurrences:
549
Examples:
* quays:
[ ej z]
* quake:
[ ej k]
* quaff:
[ ɒ f]
* quite:
[ aj]
Occurrences:
5,327
Examples:
* mingo:
[ 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:
[ æ ʔ]
* shut:
[ʃ ɐ ʔ]
* got:
[ɡ ɑ ʔ]
* bit:
[ ɪ ʔ]

Aspirated

Occurrences:
6,016
Examples:
* pump:
[ ɐ m p]
* pcp:
[ s ]
* pale:
[ ej ɫ]
* pave:
[ ej v]
Occurrences:
5,458
Examples:
* tartu:
[ ɑ ɹ ʉ]
* taupo:
[ aw p ow]
* talk:
[ ɒ k]
* telex:
[ ɛ l ɛ k s]
Occurrences:
3,335
Examples:
* cache:
[ æ ʃ ej]
* quay:
[ ]
* kiev:
[ ɛ f]
* kit:
[ ɪ t]
Occurrences:
5,529
Examples:
* kong:
[ ɑ ŋ]
* codec:
[ ow d ɛ k]
* cocks:
[ ɑ k s]
* cornu:
[ ɒ ɹ ɲ ʉ]

Affricate

Occurrences:
3,430
Examples:
* lynch:
[ʎ ɪ n ]
* situ:
[s ʉ]
* chaus:
[ aw s]
* true:
[ ʉ]
Occurrences:
5,021
Examples:
* jex:
[ ɛ k s]
* jammu:
[ æ m ʉ]
* jimi:
[ ɪ i]
* ginny:
[ ɪ ɲ i]

Sibilant

Occurrences:
37,358
Examples:
* orse:
[ɒ ɹ s]
* sith:
[s θ]
* oops:
[ʉː p s]
* quits:
[ ɪ t s]
Occurrences:
16,239
Examples:
* diggs:
[ 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:
[ ɪ ʒ ə]
* loge:
[l ow ʒ]
* usual:
[j ʉː ʒ ʊ ɫ̩]
* zhao:
[ʒ aw]

Fricative

Occurrences:
8,365
Examples:
* poof:
[ ʉː f]
* cufa:
[ ɐ f ə]
* quaff:
[ ɒ f]
* fand:
[f æ n d]
Occurrences:
2,216
Examples:
* fits:
[ ɪ t s]
* feces:
[ s z]
* feeds:
[ d z]
* fused:
[ ʉː z d]
Occurrences:
5,741
Examples:
* viler:
[v aj l ɚ]
* mover:
[m ʉː v ɚ]
* dive:
[d aj v]
* kiev:
[ ɛ v]
Occurrences:
1,756
Examples:
* vida:
[ ɪ d ə]
* levin:
[l ɛ ɪ n]
* covey:
[ ɐ i]
* vis:
[ 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 ɫ z]
* hayat:
[ç ej ɑ t]
* higgs:
[ç ɪ ɡ z]
* helix:
[ç 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]

Approximant

Occurrences:
4,539
Examples:
* swap:
[s w ɑː p]
* swart:
[s w ɒ ɹ t]
* wets:
[w ɛ t s]
* widdy:
[w ɪ i]
Occurrences:
35,999
Examples:
* graff:
[ɟ ɹ æ f]
* rise:
[ɹ aj z]
* track:
[t ɹ æ k]
* deere:
[ 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]

Tap

Occurrences:
170
Examples:
* hide:
[h aj ɾ]
* older:
[ow ɫ ɾ ɚ]
* motor:
[m ow ɾ ɚ]
* kid:
[ ɪ ɾ]
Occurrences:
119
Examples:
* party:
[ 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:
[ ɾ̃ i]
* gonna:
[ɡ ə ɾ̃ ə]
* ended:
[ɛ ɾ̃ ɪ ɾ]

Lateral

Occurrences:
12,457
Examples:
* flag:
[f l æ ɡ]
* pluck:
[p l ɐ k]
* valet:
[v æ l ej]
* latte:
[l æ ej]
Occurrences:
11,333
Examples:
* hells:
[h ɛ ɫ z]
* bulks:
[b ɐ ɫ k s]
* ultra:
[ɐ ɫ t ɹ ə]
* deal:
[ ɪ ɫ]
Occurrences:
104
Examples:
* awful:
[ɒ f ɫ̩]
* total:
[ 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 i ə]
* lippy:
[ʎ ɪ 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:
[ ɪ ɲ i]
* guido:
[ɟʷ i d ow]
Occurrences:
6,488
Examples:
* devon:
[ v ə n]
* healy:
[ç ʎ i]
* vns:
[ ɛ n ɛ s]
* aweel:
[ə w ɫ]
Occurrences:
2,305
Examples:
* situ:
[s ʉ]
* sudan:
[s ʉ d ɑ n]
* zumba:
[z ʉ m b ə]
* judo:
[ 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]
Occurrences:
45,698
Examples:
* gases:
[ɡ æ s ɪ z]
* rim:
[ɹ ɪ m]
* kiddo:
[ 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:
[ ʊ ɹ i]

Close-Mid

Occurrences:
11,519
Examples:
* chaus:
[ 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:
[ ɛ ɹ ow]
* barco:
[b ɑ ɹ k ow]
Occurrences:
47,987
Examples:
* mesas:
[m ej s ə s]
* alum:
[æ l ə m]
* tonia:
[ ow ɲ i ə]
* bevan:
[b ɛ v ə n]
Occurrences:
10,110
Examples:
* hamer:
[h ej m ɚ]
* femur:
[ m ɚ]
* meter:
[ ɾ ɚ]
* bhaer:
[b ej ɚ]

Open-Mid

Occurrences:
19,196
Examples:
* hen:
[h ɛ n]
* hex:
[h ɛ k s]
* any:
[ɛ ɲ i]
* nzt:
[ɛ n z ]
Occurrences:
3,570
Examples:
* herm:
[h ɝ m]
* verve:
[v ɝ ɹ v]
* third:
[ ɝ d]
* dern:
[d ɝ n]
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:
[ ɐ f]
* qatar:
[ ɐ t ɚ]
* plug:
[p l ɐ ɡ]
* gub:
[ɡ ɐ b]

Open

Occurrences:
0
Examples:
Occurrences:
22
Examples:
* like:
[l k]
* rise:
[ɹ s]
* types:
[ p s]
* might:
[m t]
Occurrences:
10,888
Examples:
* tall:
[ ɑ ɫ]
* saucy:
[s ɑ s i]
* longo:
[l ɑ ŋ ɡ ow]
* kart:
[ ɑ ɹ t]
Occurrences:
2,496
Examples:
* lager:
[l ɑː ɡ ɚ]
* olaf:
[ow l ɑː f]
* capri:
[ ɑː p ɹ i]
* baden:
[b ɑː d ə n]
Occurrences:
5,421
Examples:
* porky:
[ 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 i]
* hogg:
[h ɒː ɡ]
* auld:
[ɒː ɫ d]
* rall:
[ɹ ɒː ɫ]

Diphthongs#

  • aj

  • aw

  • ej

  • ow

  • ɔj