readme: ---
  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).