Portuguese (Portugal) MFA dictionary v2.0.0a#
@techreport{mfa_portuguese_portugal_mfa_dictionary_2022,
author={McAuliffe, Michael and Sonderegger, Morgan},
title={Portuguese (Portugal) MFA dictionary v2.0.0a},
address={\url{https://mfa-models.readthedocs.io/pronunciation dictionary/Portuguese/Portuguese (Portugal) MFA dictionary v2_0_0a.html}},
year={2022},
month={May},
}
G2P models |
Installation#
Install from the MFA command line:
mfa model download dictionary portuguese_portugal_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 Portuguese transcripts.
This dictionary uses the MFA phone set for Portuguese, and was used in training the Portuguese 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 |
Uvular |
---|---|---|---|---|---|---|---|---|
Nasal |
Occurrences: 19,597 Examples: * gomma: [ɡ o m u m ɐ] * milho: [m i ʎ u] * meah: [m j ɐ ɣ a] * fatmé: [f a t m ɛ] |
Occurrences: 13,264 Examples: * numb: [n u ̃ b] * norte: [n ɔ ɾ t ɨ] * ébano: [ɛ β ɐ n u] * feno: [f e n u] |
Occurrences: 2,826 Examples: * cahos: [k ɐ ɲ u ʃ] * senha: [s e ɲ ɐ] * nho: [ɲ u] * ponha: [p o ɲ ɐ] |
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Stop |
Occurrences: 19,257 Examples: * repor: [ʁ ɨ p o ɾ] * pêra: [p e ɾ ɐ] * ipo: [i p u] * pre: [p ɾ ɨ] Occurrences: 6,637 Examples: * bisu: [b i z u] * ebó: [e b ɔ] * abala: [ɐ b ɐ l a] * brega: [b ɾ e ɡ a] |
Occurrences: 36,727 Examples: * the: [t e] * reset: [ʁ e z ɛ t ʃ i] * trra: [t ʁ ɐ] * blitz: [b l i t ʃ] Occurrences: 16,539 Examples: * doura: [d o w ɾ ɐ] * pade: [p a d ɨ] * danae: [d ɐ n a i] * dica: [d i k ɐ] |
Occurrences: 1,506 Examples: * oac: [o ɐ c i] * looks: [l u c i s] * quico: [c i k u] * quiz: [c i ʃ] Occurrences: 287 Examples: * fulge: [f u l ɟ i] * gueto: [ɟ ɛ t u] * guiei: [ɟ i e j] * migué: [m i ɟ ɛ] |
Occurrences: 24,026 Examples: * york: [j ɔ ɾ k] * jacó: [ʒ ɐ k ɔ] * colho: [k u ʎ u] * sílex: [s i l ɛ k s] Occurrences: 4,398 Examples: * galre: [ɡ ɐ l ɾ ɨ] * gastá: [ɡ ɐ ʃ t a] * bogó: [b o ɡ ɔ] * gávea: [ɡ a v j ɐ] |
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Affricate |
Occurrences: 814 Examples: * patch: [p a t ʃ] * acoty: [ɐ k o t ʃ i] * afete: [a f ɛ t ʃ i] * olot: [o l o t ʃ i] Occurrences: 510 Examples: * deos: [d ʒ i u ʃ] * dita: [d ʒ i t ɐ] * fidji: [f i d ʒ i] * job: [d ʒ ɔ b i] |
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Sibilant |
Occurrences: 26,142 Examples: * sabêl: [s ɐ b e a w] * pulso: [p u l s u] * ceifa: [s e j f ɐ] * asso: [a s u] Occurrences: 9,541 Examples: * vazia: [v ɐ z i ɐ] * pausa: [p a w z ɐ] * azoto: [ɐ z o t u] * fuzis: [f u z i ʃ] |
Occurrences: 36,325 Examples: * estou: [ɨ ʃ t o w] * finas: [f i n ɐ ʃ] * obras: [ɔ β ɾ ɐ ʃ] * medas: [m ɨ ð ɐ ʃ] Occurrences: 6,526 Examples: * josep: [ʒ o z e p] * cisma: [s i ʒ m ɐ] * monge: [m o ̃ ʒ ɨ] * sejas: [s e ʒ ɐ ʃ] |
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Fricative |
Occurrences: 10,334 Examples: * feria: [f ɨ ɾ i ɐ] * filha: [f i ʎ ɐ] * fogos: [f o ɣ u ʃ] * forca: [f ɔ ɾ k ɐ] Occurrences: 13,838 Examples: * volup: [v u l u p] * ippvo: [i p v u] * veis: [v ɛ ʃ] * vidas: [v i ð ɐ ʃ] |
Occurrences: 16,620 Examples: * cedi: [s ɨ ð i] * ádito: [a ð i t u] * mode: [m u ð ɨ] * radio: [ʁ ɐ ð i u] |
Occurrences: 9,875 Examples: * carré: [k ɐ ʁ ɛ] * ree: [ʁ e e] * rodin: [ʁ o ð i ̃] * ross: [ʁ u s] |
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Approximant |
Occurrences: 8,421 Examples: * doe: [d w i] * virou: [v i ɾ o w] * kaun: [k a w n] * demão: [d ɨ m ɐ ̃ w ̃] Occurrences: 6,605 Examples: * iam: [i ɐ ̃ w ̃] * coçam: [k u s ɐ ̃ w ̃] * dream: [d ɾ j ɐ ̃ w ̃] * ecoam: [i k ɐ ̃ w ̃] |
Occurrences: 17,642 Examples: * dilui: [d i l u j] * fiava: [f j a v ɐ] * yéllo: [j ɛ l u] * fem: [f ɐ ̃ j ̃] Occurrences: 3,214 Examples: * mães: [m ɐ ̃ j ̃ ʃ] * levem: [l ɨ v ɐ ̃ j ̃] * casem: [k a s ɐ ̃ j ̃] * fazen: [f a z ɐ ̃ j ̃] |
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Tap |
Occurrences: 48,732 Examples: * cerca: [s e ɾ k ɐ] * irmos: [i ɾ m u ʃ] * calôr: [k a l o ɾ] * vir: [v i ɾ] |
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Lateral |
Occurrences: 23,442 Examples: * cal: [k a l] * nele: [n e l ɨ] * blá: [b l a] * luzes: [l u z ɨ ʃ] |
Occurrences: 1,999 Examples: * pilha: [p i ʎ ɐ] * tulha: [t u ʎ ɐ] * alhos: [ɐ ʎ u ʃ] * milhã: [m i ʎ ɐ ̃] |
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: 50,630 Examples: * tinia: [t i n i a] * falia: [f ɐ l i ɐ] * tátil: [t a t i l] * marry: [m ɐ ʁ i] |
Occurrences: 34,357 Examples: * chore: [ʃ ɔ ɾ ɨ] * dorme: [d u ɾ m ɨ] * sno: [ɛ s ɨ ɛ n ɨ ɔ] * cede: [s e ð ɨ] |
Occurrences: 51,446 Examples: * urano: [u ɾ ɐ n u] * judeu: [ʒ u d e w] * saúdo: [s ɐ u ð u] * adufa: [ɐ ð u f ɐ] |
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Close-Mid |
Occurrences: 10,570 Examples: * retê: [ʁ ɨ t e] * senso: [s e ̃ s u] * ageu: [ɐ ʒ e w] * papei: [p ɐ p e j] |
Occurrences: 11,358 Examples: * vôo: [v o] * loíío: [l o i i u] * onyar: [o n j a ɾ] * olhar: [o ʎ a ɾ] |
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Open-Mid |
Occurrences: 9,112 Examples: * répas: [ʁ ɛ p ɐ ʃ] * metti: [m ɛ t i] * crepe: [k ɾ ɛ p e] * aloés: [ɐ l w ɛ ʃ] |
Occurrences: 7,135 Examples: * coça: [k ɔ s ɐ] * odeio: [ɔ d ɐ j u] * rokia: [ʁ ɔ c i ɐ] * golas: [ɡ ɔ l ɐ ʃ] |
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Occurrences: 63,314 Examples: * ruga: [ʁ u ɣ ɐ] * noção: [n u s ɐ ̃ w ̃] * elem: [i l ɐ ̃ j ̃] * janus: [ʒ ɐ n u ʃ] |
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Open |
Occurrences: 37,738 Examples: * sagaz: [s ɐ ɣ a ʃ] * pax: [p a k s] * anapu: [ɐ n a p u] * safra: [s a f ɾ ɐ] |
Nasal Vowels#
Front |
Near-Front |
Central |
Near-Back |
Back |
|
---|---|---|---|---|---|
Close |
Occurrences: 5,648 Examples: * talim: [t a l i ̃] * indi: [i ̃ d i] * chim: [ʃ i ̃] * rins: [ʁ i ̃ ʃ] |
Occurrences: 1,326 Examples: * tumba: [t u ̃ b ɐ] * dguns: [d ɡ u ̃ ʃ] * unca: [u ̃ k ɐ] * nuns: [n u ̃ ʃ] |
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Close-Mid |
Occurrences: 10,878 Examples: * end: [e ̃ d] * penfo: [p e ̃ f u] * rendo: [ʁ e ̃ d u] * dente: [d e ̃ t ɨ] |
Occurrences: 6,266 Examples: * ponde: [p o ̃ d ɨ] * canon: [k ɐ ̃ o ̃] * son: [s o ̃] * taõ: [t o ̃] |
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Open-Mid |
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Occurrences: 17,132 Examples: * xampu: [ʃ ɐ ̃ p u] * mãi: [m ɐ ̃ j ̃] * rutão: [ʁ u t ɐ ̃ w ̃] * erram: [i ʁ ɐ ̃ w ̃] |
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Open |