Ctrl+K
Ctrl+K

English (Nigeria) MFA dictionary v2.0.0a#

  • Maintainer: Montreal Forced Aligner

  • Language: English

  • Dialect: Nigerian English

  • Phone set: MFA

  • Number of words: 51,698

  • Phones: a aj aw aː b bʲ c cʰ d dʒ dʲ d̪ e f fʲ h i iː j k kʰ l m mʲ n o p pʰ pʲ s t tʃ tʰ tʲ t̪ u uː v vʲ w z ç ð ŋ ɔ ɔj ɛ ɛː ɜ ɟ ɡ ɫ ɱ ɲ ɹ ʃ ʊ ʎ ʒ ʔ θ

  • License: CC BY 4.0

  • Compatible MFA version: v2.0.0

  • Citation:

@techreport{mfa_english_nigeria_mfa_dictionary_2022,
	author={McAuliffe, Michael and Sonderegger, Morgan},
	title={English (Nigeria) MFA dictionary v2.0.0a},
	address={\url{https://mfa-models.readthedocs.io/pronunciation dictionary/English/English (Nigeria) MFA dictionary v2_0_0a.html}},
	year={2022},
	month={May},
}

G2P models
../../_images/full_logo_yellow.svg

Installation#

Install from the MFA command line:

mfa model download dictionary english_nigeria_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.

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:
9,943
Examples:
* imped:
[i m p t]
* mako:
[m a k ʰ o]
* omar:
[o m a]
* yam:
[j a m]
Occurrences:
2,452
Examples:
* smit:
[s m ʲ i t]
* amigo:
[a m ʲ i ː ɡ o]
* milan:
[m ʲ i l a n]
* metes:
[m ʲ i ː t s]
Occurrences:
572
Examples:
* senvy:
[s ɛ ɱ v ʲ i]
* envoi:
[ɛ ɱ v ɔ j]
* info:
[i ɱ f o]
* envy:
[ɛ ɱ v ʲ i]
Occurrences:
19,877
Examples:
* awarn:
[a w ɔ n]
* nob:
[n ɔ b]
* stern:
[s t a ː n]
* aloin:
[a l o i n]
Occurrences:
5,034
Examples:
* penny:
[p ʰ ɛ ɲ i]
* naos:
[ɲ e ɔ s]
* winy:
[w a j ɲ i]
* nieve:
[ɲ i ː v]
Occurrences:
3,796
Examples:
* think:
[t ̪ i ŋ k]
* aging:
[e d ʒ i ŋ ɡ]
* dunks:
[d ɔ ŋ k s]
* swung:
[s w ɔ ŋ ɡ]

Stop
Occurrences:
5,599
Examples:
* pose:
[p ʰ o z]
* wipo:
[w a j p ʰ o]
* polis:
[p ʰ o ʎ i s]
* vapor:
[v e p ɔ]
Occurrences:
6,879
Examples:
* boozy:
[b u ː z i]
* bub:
[b ɔ b]
* biz:
[b ʲ i z]
* bob:
[b ɔ b]
Occurrences:
31
Examples:
* thing:
[t ̪ i ŋ ɡ]
* think:
[t ̪ i ŋ k]
* thin:
[t ̪ i n]
* three:
[t ̪ ɹ i ː]
Occurrences:
60
Examples:
* than:
[d ̪ a n]
* there:
[d ̪ e a]
* those:
[d ̪ o z]
* them:
[d ̪ ɛ m]
Occurrences:
15,298
Examples:
* put:
[p ʰ ɔ t]
* match:
[m a t ʃ]
* leach:
[ʎ i ː t ʃ]
* haupt:
[h a w p t]
Occurrences:
10,441
Examples:
* danes:
[d e n z]
* hundo:
[h ɔ n d o]
* digit:
[d ʲ i d ʒ i t]
* gigot:
[d ʒ i ɡ ɔ t]
Occurrences:
2,838
Examples:
* pawky:
[p ʰ ɔ c ʰ i]
* acute:
[a c ʰ u ː t]
* dinky:
[d ʲ i ɲ c ʰ i]
* busky:
[b ɔ s c i]
Occurrences:
1,762
Examples:
* yogi:
[j o ɟ i]
* logy:
[l o ɟ i]
* glee:
[ɟ ʎ i ː]
* gild:
[ɟ i ɫ d]
Occurrences:
9,667
Examples:
* cadre:
[k ʰ a d a]
* bank:
[b a ŋ k]
* disc:
[d ʲ i s k]
* recto:
[ɹ ɛ k t ʰ o]
Occurrences:
6,040
Examples:
* goy:
[ɡ ɔ j]
* going:
[ɡ o i ŋ ɡ]
* sprog:
[s p ɹ ɔ ɡ]
* acing:
[e s i ŋ ɡ]
Occurrences:
35
Examples:
* that:
[d ̪ a ʔ]
* cheat:
[t ʃ i ː ʔ]
* about:
[a b a w ʔ]
* cat:
[k ʰ a ʔ]

Affricate
Occurrences:
2,150
Examples:
* choke:
[t ʃ o k]
* witch:
[w i t ʃ]
* chill:
[t ʃ i ɫ]
* march:
[m a t ʃ]
Occurrences:
3,467
Examples:
* jobs:
[d ʒ ɔ b z]
* jake:
[d ʒ e k]
* john:
[d ʒ ɔ n]
* jape:
[d ʒ e p]

Sibilant
Occurrences:
22,367
Examples:
* stat:
[s t a t]
* texan:
[t ʰ ɛ k s a n]
* locus:
[l o k u s]
* barca:
[b a s a]
Occurrences:
7,510
Examples:
* glues:
[ɡ l u ː z]
* woozy:
[w u ː z i]
* spas:
[s p a z]
* asses:
[a s ɛ z]
Occurrences:
4,511
Examples:
* tube:
[t ʃ u ː b]
* winch:
[w i n t ʃ]
* sshrc:
[ɛ s ɛ s e t ʃ a s i ː]
* churn:
[t ʃ a ː n]
Occurrences:
375
Examples:
* yuge:
[j u ː d ʒ]
* ngel:
[ɛ n d ʒ ɛ ɫ]
* jude:
[d ʒ u ː d]
* gemel:
[d ʒ ɛ m ɛ ɫ]

Fricative
Occurrences:
5,239
Examples:
* draft:
[d ɹ a f t]
* fined:
[f a j n d]
* flit:
[f ʎ i t]
* fox:
[f ɔ k s]
Occurrences:
1,482
Examples:
* filch:
[f ʲ i ɫ t ʃ]
* fins:
[f ʲ i n z]
* fifi:
[f ʲ i f ʲ i]
* jiffy:
[d ʒ i f ʲ i]
Occurrences:
3,509
Examples:
* venew:
[v ɛ ɲ u ː]
* never:
[n ɛ v a]
* vale:
[v e ɫ]
* chavs:
[t ʃ a v z]
Occurrences:
1,024
Examples:
* civic:
[s i v ʲ i k]
* ovist:
[o v ʲ i s t]
* avian:
[e v ʲ i a n]
* covey:
[k ʰ o v ʲ i]
Occurrences:
1,715
Examples:
* thee:
[θ i ː]
* lisp:
[ʎ i θ p]
* worth:
[w ɔ θ]
* ninth:
[n a j n θ]
Occurrences:
408
Examples:
* nithe:
[n a j ð]
* tho:
[ð o]
* th':
[ð]
* other:
[ɔ ð a]
Occurrences:
654
Examples:
* hail:
[ç e ɫ]
* huey:
[ç u ː i]
* hipaa:
[ç i p a]
* heles:
[ç i ː ɫ z]
Occurrences:
2,237
Examples:
* howl:
[h a w ɫ]
* ham:
[h a m]
* hugs:
[h ɔ ɡ z]
* holed:
[h o ɫ d]

Approximant
Occurrences:
3,256
Examples:
* gound:
[ɡ a w n d]
* waged:
[w e d ʒ d]
* frau:
[f ɹ a w]
* mouth:
[m a w ð]
Occurrences:
17,007
Examples:
* drier:
[d ɹ a j a]
* sprag:
[s p ɹ a ɡ]
* reem:
[ɹ i ɛ m]
* bros:
[b ɹ o z]
Occurrences:
1,088
Examples:
* sine:
[s a j n]
* stile:
[s t a j ɫ]
* windy:
[w a j ɲ d ʲ i]
* vides:
[v a j d z]

Lateral
Occurrences:
8,160
Examples:
* vela:
[v ʲ i ː l a]
* lut:
[l u t]
* lice:
[l a j s]
* solo:
[s o l o]
Occurrences:
6,892
Examples:
* ramal:
[ɹ e m a ɫ]
* cruel:
[k ɹ u ː ɛ ɫ]
* helps:
[h ɛ ɫ p s]
* tiel:
[t ʰ i ː ɫ]
Occurrences:
5,454
Examples:
* colin:
[k ʰ o ʎ i n]
* glees:
[ɟ ʎ i ː z]
* leave:
[ʎ i ː v]
* clans:
[c ʎ a n z]

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:
37,755
Examples:
* sic:
[s i k]
* shear:
[ʃ i a]
* mummy:
[m ɔ m ʲ i]
* acoel:
[e s i ː ɫ]
Occurrences:
6,534
Examples:
* png:
[p ʰ i ː ɛ n d ʒ i ː ɡ]
* ibs:
[a j b ʲ i ː ɛ s]
* jeans:
[d ʒ i ː n z]
* fap:
[ɛ f e p ʰ i ː]
Occurrences:
3,974
Examples:
* hoops:
[h u ː p s]
* tool:
[t ʃ u ː ɫ]
* owo:
[o u ː]
* nukes:
[ɲ u ː k s]
Occurrences:
4,367
Examples:
* spool:
[s p u ː ɫ]
* youth:
[j u ː θ]
* cute:
[c ʰ u ː t]
* puer:
[p ʲ u ː a]
Occurrences:
3,493
Examples:
* kaput:
[k ʰ a p ʰ ʊ t]
* sushi:
[s ʊ ʃ i]
* brook:
[b ɹ ʊ k]
* huda:
[h ʊ d a]

Close-Mid
Occurrences:
6,880
Examples:
* wain:
[w e n]
* cakes:
[c ʰ e k s]
* waler:
[w e l a]
* crape:
[c ɹ e p]
Occurrences:
6,458
Examples:
* oguta:
[o ɡ u t a]
* clone:
[k l o n]
* aloha:
[a l o h a]
* danso:
[d a n s o]

Open-Mid
Occurrences:
16,509
Examples:
* belts:
[b ɛ ɫ t s]
* open:
[o p ɛ n]
* debel:
[d ɛ b ɛ ɫ]
* tyek:
[t ʲ ɛ k]
Occurrences:
680
Examples:
* aaron:
[ɛ ː u n]
* chair:
[t ʃ ɛ ː]
* nary:
[n ɛ ː ɹ i]
* scary:
[s c ɛ ː ɹ i]
Occurrences:
135
Examples:
* durst:
[d ɜ s t]
* wyrd:
[w ɜ d]
* perv:
[p ʰ ɜ v]
* murr:
[m ɜ]
Occurrences:
21,346
Examples:
* stunk:
[s t ɔ ŋ k]
* ogin:
[ɔ ɟ i n]
* morai:
[m ɔ ɹ a j]
* sub:
[s ɔ b]

Open
Occurrences:
32,288
Examples:
* stoma:
[s t o m a]
* joule:
[d ʒ a w ɫ]
* saga:
[s a ɡ a]
* haaf:
[h a f]
Occurrences:
1,880
Examples:
* dirge:
[d a ː d ʒ]
* durst:
[d a ː s t]
* dirt:
[d a ː t]
* kerb:
[k ʰ a ː b]

Diphthongs#

  • aj

  • aw

  • ɔj

On this page
Show Source