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README.md
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The model aims to perform automatic speech transcription in Brazilian Portuguese with high accuracy. By combining data from Common Voice 16 with an automatically transcribed private dataset, the model achieved a Word Error Rate (WER) of 8.
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- **Model type:** Speech recognition model based on distil-whisper-large-v3
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- **Language(s) (NLP):** Brazilian Portuguese (pt-BR)
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The model aims to perform automatic speech transcription in Brazilian Portuguese with high accuracy. By combining data from Common Voice 16 with an automatically transcribed private dataset, the model achieved a Word Error Rate (WER) of 8.221% on the validation set of Common Voice 16.
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- **Model type:** Speech recognition model based on distil-whisper-large-v3
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- **Language(s) (NLP):** Brazilian Portuguese (pt-BR)
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