French MFA dictionary v3.0.0#

  • Maintainer: Montreal Forced Aligner

  • Language: French

  • Dialect: N/A

  • Phone set: MFA

  • Number of words: 105,730

  • Phones: a b c d e f i j k l m n o p s t ts u v w y z ø ŋ œ ɑ ɑ̃ ɔ ɔ̃ ə ɛ ɛ̃ ɟ ɡ ɥ ɲ ʁ ʃ ʎ ʒ

  • License: CC BY 4.0

  • Compatible MFA version: v3.0.0

  • Citation:

@techreport{mfa_french_mfa_dictionary_2024,
	author={McAuliffe, Michael and Sonderegger, Morgan},
	title={French MFA dictionary v3.0.0},
	address={\url{https://mfa-models.readthedocs.io/pronunciation dictionary/French/French MFA dictionary v3_0_0.html}},
	year={2024},
	month={Mar},
}
../../_images/full_logo_yellow.svg

Installation#

Install from the MFA command line:

mfa model download dictionary french_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/french/mfa/French MFA dictionary v3_0_0.dict).

Intended use#

This dictionary is intended for forced alignment of French transcripts.

This dictionary uses the MFA phone set for French, and was used in training the French 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

Alveolar

Alveopalatal

Palatal

Velar

Uvular

Nasal

Occurrences:
21,152
Examples:
* cuomo:
[k ɥ ɔ m o]
* malko:
[m a l k o]
* molas:
[m ɔ l a]
* röhm:
[ʁ œ o m]
Occurrences:
264
Examples:
* mion:
[ ɔ̃]
* mious:
[ u]
* mien:
[ ɛ̃]
* amiel:
[a ɛ l]
Occurrences:
18,058
Examples:
* tacna:
[t a k n a]
* canoë:
[k a n ɔ e]
* niel:
[n j ɛ l]
* sinan:
[s i n ɑ̃]
Occurrences:
5,572
Examples:
* eniwa:
[ɑ̃ ɲ i w a]
* sagne:
[s a ɲ]
* unic:
[y ɲ i k]
* venir:
[v ə ɲ i ʁ]
Occurrences:
673
Examples:
* ying:
[j i ŋ]
* tông:
[t o ŋ ɡ]
* bing:
[b i ŋ ɡ]
* tring:
[t ʁ i ŋ]

Stop

Occurrences:
17,850
Examples:
* tupac:
[t u p a k]
* poly:
[p ɔ ʎ i]
* parke:
[p a ʁ c e]
* spora:
[s p ɔ ʁ a]
Occurrences:
15,185
Examples:
* bimbo:
[b j ɛ̃ b o]
* berre:
[b ɛ ʁ]
* buzz:
[b y z]
* blogs:
[b l ɔ ɡ]
Occurrences:
36,289
Examples:
* batak:
[b a t a k]
* rotin:
[ʁ o t ɛ̃]
* potro:
[p ɔ t ʁ o]
* rôtir:
[ʁ o t i ʁ]
Occurrences:
19,150
Examples:
* bald:
[b a l d]
* déçus:
[d e s y]
* duval:
[d y v a l]
* dixon:
[d i z ɔ̃]
Occurrences:
3,116
Examples:
* kerk:
[c ɛ ʁ k]
* take:
[t a c e]
* kilos:
[c i l ɔ s]
* sakai:
[s a c e]
Occurrences:
969
Examples:
* guus:
[ɟ y]
* guide:
[ɟ i d]
* gimié:
[ɟ i e]
* bougy:
[b u ɟ i]
Occurrences:
26,384
Examples:
* sink:
[s i ŋ k]
* zac:
[z a k]
* haïku:
[a j k u]
* tics:
[t i k]
Occurrences:
8,609
Examples:
* goûte:
[ɡ u t]
* aigue:
[ɛ ɡ]
* langa:
[l ɑ̃ ɡ a]
* grote:
[ɡ ʁ ɔ t]

Affricate

Occurrences:
385
Examples:
* koltz:
[k ɔ l ts]
* seitz:
[s ɛ ts]
* hartz:
[a ʁ ts]
* motz:
[m o ts]
Occurrences:
366
Examples:
* tchad:
[ a d]
* ciot:
[ j o]
* roth:
[ʁ o ]
* chuck:
[ œ k]
Occurrences:
238
Examples:
* dodge:
[d ɔ ]
* moji:
[m o i]
* banjo:
[b ɑ̃ o]
* edj:
[ɛ ]

Sibilant

Occurrences:
33,366
Examples:
* croci:
[k ʁ ɔ s i]
* peire:
[p e s ɛ ʁ]
* sont:
[s ɔ̃]
* fixes:
[f i k s]
Occurrences:
9,718
Examples:
* basé:
[b a z e]
* visas:
[v i z ɑ]
* muñoz:
[m œ ɲ z e]
* suzon:
[s y z ɔ̃]
Occurrences:
5,914
Examples:
* chaux:
[ʃ o]
* chaut:
[ʃ o]
* shui:
[ʃ ɥ i]
* fâche:
[f ɑ ʃ]
Occurrences:
7,985
Examples:
* mejía:
[m ə ʒ i a]
* jihad:
[ʒ i a d]
* jakob:
[ʒ a k ɔ b]
* ogier:
[ɔ ʒ j e]

Fricative

Occurrences:
10,581
Examples:
* refit:
[ʁ ə f i]
* faou:
[f a u]
* fusée:
[f y z e]
* fumet:
[f y m ɛ]
Occurrences:
11,456
Examples:
* pskov:
[p s k ɔ v]
* viva:
[v i v a]
* avéra:
[a v e ʁ a]
* wetar:
[v ɛ t a ʁ]
Occurrences:
60,359
Examples:
* weert:
[v ɛ ʁ]
* basri:
[b a s ʁ i]
* barra:
[b a ʁ a]
* verni:
[v ɛ ʁ ɲ i]

Approximant

Occurrences:
5,009
Examples:
* wigan:
[w i ɡ ɑ̃]
* louie:
[l w i]
* douar:
[d w a ʁ]
* voie:
[v w ɑ]
Occurrences:
14,818
Examples:
* polje:
[p ɔ j ʒ]
* trios:
[t ʁ i j o]
* payer:
[p e j e]
* cieux:
[s j ø]
Occurrences:
1,898
Examples:
* huan:
[ɥ a n]
* juéry:
[ʒ ɥ e ʁ i]
* druet:
[d ʁ ɥ ɛ]
* suais:
[s ɥ ɛ]

Lateral

Occurrences:
27,204
Examples:
* pfalz:
[p e ɛ f a l z]
* else:
[ɛ l s]
* leff:
[l ɛ f]
* flute:
[f l y t]
Occurrences:
6,242
Examples:
* lizy:
[ʎ i z i]
* cali:
[k a ʎ i]
* salir:
[s a ʎ i ʁ]
* salim:
[s a ʎ i m]

Vowels#

Vowel symbols to the left of are unrounded and those to the right are rounded.

Oral Vowels#

Front

Near-Front

Central

Near-Back

Back

Close

Occurrences:
46,665
Examples:
* aoric:
[a ɔ ʁ i k]
* lotie:
[l ɔ s i]
* leoni:
[l ɔ ɲ i]
* ngari:
[n ɡ a ʁ i]
Occurrences:
12,489
Examples:
* reçut:
[ʁ ə s y]
* tulle:
[t y l]
* luni:
[l y ɲ i]
* burne:
[b y ʁ n]
Occurrences:
7,385
Examples:
* ascou:
[a s k u]
* ould:
[u l d]
* footy:
[f u t i]
* boue:
[b u]

Close-Mid

Occurrences:
32,704
Examples:
* trié:
[t ʁ i j e]
* elly:
[e ʎ i]
* déca:
[d e k a]
* vérac:
[v e ʁ a k]
Occurrences:
1,686
Examples:
* neue:
[n ø]
* kelme:
[c e l e ɛ m ø]
* jeudi:
[ʒ ø d i]
* romeu:
[ʁ ɔ m ø]
Occurrences:
9,655
Examples:
* röhm:
[ʁ œ o m]
* carlo:
[k a ʁ l o]
* esso:
[e s o]
* secco:
[s ə e k o]
Occurrences:
6,737
Examples:
* jetée:
[ʒ ə t e]
* revit:
[ʁ ə v i]
* velay:
[v ə l ɛ]
* votre:
[v ɔ t ʁ ə]

Open-Mid

Occurrences:
30,700
Examples:
* weigl:
[w ɛ ɡ l]
* hoëne:
[w ɛ n]
* neil:
[n ɛ j]
* expos:
[ɛ k s p o z]
Occurrences:
2,973
Examples:
* löw:
[l œ]
* leung:
[l œ ŋ ɡ]
* smuul:
[s m œ œ l]
* crumb:
[k ʁ œ m b]
Occurrences:
26,421
Examples:
* sori:
[s ɔ ʁ i]
* toto:
[t ɔ t o]
* ora:
[ɔ ʁ a]
* roc'h:
[ʁ ɔ]

Open

Occurrences:
57,649
Examples:
* rate:
[ʁ a t]
* karl:
[k a ʁ l]
* jemâa:
[ʒ ə m ɑ a]
* cima:
[s i m a]
Occurrences:
1,678
Examples:
* proie:
[p ʁ w ɑ]
* linas:
[ʎ i n ɑ]
* cadre:
[k ɑ d ʁ ə]
* bâclé:
[b ɑ k l e]

Nasal Vowels#

Front

Near-Front

Central

Near-Back

Back

Close

Close-Mid

Open-Mid

Occurrences:
7,370
Examples:
* keren:
[c e ʁ ɛ̃]
* cazin:
[k a z ɛ̃]
* xingu:
[k s ɛ̃ ɡ y]
* armin:
[a ʁ m ɛ̃]
Occurrences:
10,708
Examples:
* front:
[f ʁ ɔ̃]
* suwon:
[s y s w ɔ̃]
* monts:
[m ɔ̃]
* donc:
[d ɔ̃ k]

Open

Occurrences:
17,105
Examples:
* landy:
[l ɑ̃ d i]
* medan:
[m ɛ d ɑ̃]
* manco:
[m ɑ̃ k o]
* vento:
[v ɑ̃ t o]