Model Card for portuguese_mfa

This MFA model is for aligning Portuguese across Brazil and Portugal dialects.

Model details
Uses
Performance Factors
Dictionary Details
Training Details
Evaluation
Contact

Model Details

Model Description

Developed by: Michael McAuliffe
Funded by: N/A
Model type: Montreal Forced Aligner model
Language(s) (NLP): Portuguese
License: cc-by-4.0

Uses

Direct Use

This model is intended to be used for forced alignment of Portuguese varieties that it was trained on (Portugal and Brazil). Please see https://montreal-forced-aligner.readthedocs.io/en/latest/user_guide/troubleshooting.html for details on common fixes.

Out-of-Scope Use

This model cannot provide accurate assessments of goodness of pronunciations or provide transcripts as it is trained to be accepting of variation in pronunciation to provide a reasonable alignment for Portuguese speech.

Bias, Risks, and Limitations

This model will perform best on the variety of speech that it was trained on, with a bias towards Brazilian Portuguese. The speakers in the training data are all adult speakers, so child speech alignment may not be accurate.

Recommendations

When using this model on a variety that it was not trained on, better results can be attained by adapting the model to the data to be aligned first. See https://montreal-forced-aligner.readthedocs.io/en/latest/user_guide/workflows/adapt_acoustic_model.html and https://github.com/mmcauliffe/mfa-adaptation for example usage and scripts.

How to Get Started with the Model

Use the code below to get started with the model.

To get started, follow the instructions for installing MFA. To align files using this model, use the mfa align command.

Dictionary Details

Details for portuguese_portugal_mfa dictionary and G2P model

Source: wikipron
Orthography: Latin
Phone set: MFA
Words: 117,496

Phones: 42
Graphemes: 82

IPA chart

Consonants

Manner	Labial	Labiodental	Dental	Alveolar	Alveopalatal	Palatal	Velar	Uvular
Nasal	m			n		ɲ
Stop	p b			t d			k ɡ
Labialized							kʷ ɡʷ
Affricate					tʃ dʒ
Sibilant				s z	ʃ ʒ
Fricative		f v	ð					ʁ
Approximant	w w̃					j j̃
Tap				ɾ
Lateral				ɫ		ʎ

Vowels

Oral vowels

	Front	Central	Back
Close	i	ɨ	u

Close-Mid	e		o

Open-Mid	ɛ		ɔ
		ɐ
Open		a

Nasal vowels

	Front	Central	Back
Close	ĩ		ũ

Close-Mid	ẽ		õ

Open-Mid
		ɐ̃
Open

Details for portuguese_brazil_mfa dictionary and G2P model

Source: wikipron
Orthography: Latin
Phone set: MFA
Words: 213,148

Phones: 40
Graphemes: 85

IPA chart

Consonants

Manner	Labial	Labiodental	Alveolar	Alveopalatal	Palatal	Velar	Uvular	Glottal
Nasal	m		n
Stop	p b		t d			k ɡ
Labialized						kʷ ɡʷ
Affricate				tʃ dʒ
Sibilant			s z	ʃ ʒ
Fricative		f v					ʁ	h
Approximant	w w̃				j j̃
Tap			ɾ
Lateral			l		ʎ

Vowels

Oral vowels

	Front	Central	Back
Close	i		u

Close-Mid	e		o

Open-Mid	ɛ		ɔ
		ɐ
Open		a

Nasal vowels

	Front	Central	Back
Close	ĩ		ũ

Close-Mid	ẽ		õ

Open-Mid
		ɐ̃
Open

Training Details

Training Data

Brazilian_Portuguese_Conversational_Speech_Corpus

Source: [More Information Needed]
License: [More Information Needed]
Dialects: N/A
Number of hours: 5.80
Number of utterances: 7,293
Number of speakers: 10
- Female speakers: 6
- Male speakers: 4
- Unknown speakers: 0

Common Voice Portuguese

Source: https://voice.mozilla.org/en/datasets
License: CC-0
Dialects: brazil, portugal
Number of hours: 111.25
Number of utterances: 95,429
Number of speakers: 2,002
- Female speakers: 58
- Male speakers: 500
- Unknown speakers: 1,444

CORAA

Source: [More Information Needed]
License: [More Information Needed]
Dialects: N/A
Number of hours: 289.76
Number of utterances: 400,516
Number of speakers: 77,825
- Female speakers: 0
- Male speakers: 0
- Unknown speakers: 0

GlobalPhone Portuguese (Brazilian)

Source: https://catalogue.elra.info/en-us/repository/browse/ELRA-S0201/
License: ELRA
Dialects: brazil
Number of hours: 26.26
Number of utterances: 10,344
Number of speakers: 102
- Female speakers: 48
- Male speakers: 53
- Unknown speakers: 1

Multilingual LibriSpeech Portuguese

Source: https://openslr.org/94/
License: CC BY 4.0
Dialects: portugal
Number of hours: 168.45
Number of utterances: 39,230
Number of speakers: 62
- Female speakers: 26
- Male speakers: 36
- Unknown speakers: 0

Multilingual TEDx Portuguese

Source: https://openslr.org/100/
License: CC BY-NC-ND 4.0
Dialects: portugal
Number of hours: 181.68
Number of utterances: 92,172
Number of speakers: 834
- Female speakers: 0
- Male speakers: 0
- Unknown speakers: 834

Training Procedure

Preprocessing

Preprocessing include fixes and orthographic standardization to various corpora.

Training Hyperparameters

Training regime: Training configuration

Evaluation

Testing Data, Factors & Metrics

Testing Data

N/A

Factors

N/A

Metrics

N/A

Results

N/A

Summary

Technical Specifications

Model Architecture and Objective

HMM-GMM model

Software

This model was trained via the Montreal Forced Aligner.

Citation

BibTeX:

@techreport{mfa_portuguese_mfa_acoustic_2026,
    author={McAuliffe, Michael and Sonderegger, Morgan},
    title={Portuguese MFA acoustic model v3.3.0},
    address={\url{https://huggingface.co/MontrealCorpusTools/portuguese_mfa}},
    year={2026},
    month={Jun},
}

APA:

McAuliffe, M. & Sonderegger, M. (2026). Portuguese MFA acoustic model v3.3.0. Available at https://huggingface.co/MontrealCorpusTools/portuguese_mfa.

Contact

For questions and issues, please file an issue either for this model at https://huggingface.co/MontrealCorpusTools/portuguese_mfa/discussions or for larger MFA issues at https://github.com/MontrealCorpusTools/Montreal-Forced-Aligner/issues.

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