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@@ -33,7 +33,7 @@ The ASR system is composed of:
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  - the **Acoustic model** (wav2vec2.0 + DNN + CTC greedy decode). The pretrained wav2vec 2.0 model [LeBenchmark/wav2vec2-FR-7K-large](https://huggingface.co/LeBenchmark/wav2vec2-FR-7K-large) is combined with two DNN layers and fine-tuned on Orféo.
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  The final acoustic representation is given to the CTC greedy decode.
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- We used recordings sampled at 16kHz (single channel).
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  ## 💻 How to transcribe a file with the model
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  - the **Acoustic model** (wav2vec2.0 + DNN + CTC greedy decode). The pretrained wav2vec 2.0 model [LeBenchmark/wav2vec2-FR-7K-large](https://huggingface.co/LeBenchmark/wav2vec2-FR-7K-large) is combined with two DNN layers and fine-tuned on Orféo.
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  The final acoustic representation is given to the CTC greedy decode.
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+ We used recordings sampled at 16kHz (single channel). For training, we did not use audio files longer than 10 seconds to prevent memory issues.
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  ## 💻 How to transcribe a file with the model
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