| ---
|
| language: pt
|
| datasets:
|
| - CORAA
|
| - common_voice
|
| - mls
|
| - cetuc
|
| - voxforge
|
| metrics:
|
| - wer
|
| tags:
|
| - audio
|
| - speech
|
| - wav2vec2
|
| - pt
|
| - portuguese-speech-corpus
|
| - automatic-speech-recognition
|
| - speech
|
| - PyTorch
|
| license: apache-2.0
|
| model-index:
|
| - name: Alef Iury XLSR Wav2Vec2 Large 53 Portuguese
|
| results:
|
| - task:
|
| name: Speech Recognition
|
| type: automatic-speech-recognition
|
| metrics:
|
| - name: Test CORAA WER
|
| type: wer
|
| value: 24.89%
|
| ---
|
|
|
| # Wav2vec 2.0 trained with CORAA Portuguese Dataset and Open Portuguese Datasets
|
|
|
| This a the demonstration of a fine-tuned Wav2vec model for Portuguese using the following datasets:
|
|
|
| - [CORAA dataset](https://github.com/nilc-nlp/CORAA)
|
| - [CETUC](http://www02.smt.ufrj.br/~igor.quintanilha/alcaim.tar.gz).
|
| - [Multilingual Librispeech (MLS)](http://www.openslr.org/94/).
|
| - [VoxForge](http://www.voxforge.org/).
|
| - [Common Voice 6.1](https://commonvoice.mozilla.org/pt).
|
|
|
| ## Repository
|
|
|
| The repository that implements the model to be trained and tested is avaible [here](https://github.com/alefiury/SE-R_2022_Challenge_Wav2vec2). |
