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