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@@ -17,7 +17,7 @@ metrics:
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  # CRDNN with CTC/Attention trained on CommonVoice French (No LM)
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  This repository provides all the necessary tools to perform automatic speech
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- recognition from an end-to-end system pretrained on CommonVoice (FR) within
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  SpeechBrain. For a better experience, we encourage you to learn more about
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  [SpeechBrain](https://speechbrain.github.io). The given ASR model performance are:
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@@ -53,12 +53,12 @@ pip install speechbrain
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  Please notice that we encourage you to read our tutorials and learn more about
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  [SpeechBrain](https://speechbrain.github.io).
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- ### Transcribing your own audio files
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  ```python
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  from speechbrain.pretrained import EncoderDecoderASR
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- asr_model = EncoderDecoderASR.from_hparams(source="speechbrain/asr-crdnn-commonvoice-fr")
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  asr_model.transcribe_file("path_to_your_file.wav")
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  ```
 
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  # CRDNN with CTC/Attention trained on CommonVoice French (No LM)
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  This repository provides all the necessary tools to perform automatic speech
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+ recognition from an end-to-end system pretrained on CommonVoice (French Language) within
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  SpeechBrain. For a better experience, we encourage you to learn more about
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  [SpeechBrain](https://speechbrain.github.io). The given ASR model performance are:
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  Please notice that we encourage you to read our tutorials and learn more about
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  [SpeechBrain](https://speechbrain.github.io).
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+ ### Transcribing your own audio files (in French)
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  ```python
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  from speechbrain.pretrained import EncoderDecoderASR
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+ asr_model = EncoderDecoderASR.from_hparams(source="speechbrain/asr-crdnn-commonvoice-fr", savedir="pretrained_models/asr-crdnn-commonvoice-fr")
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  asr_model.transcribe_file("path_to_your_file.wav")
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  ```