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Steven Zheng commited on
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Merge branch 'main' of https://huggingface.co/spaces/Steveeeeeeen/ASR-comparaison

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  1. app.py +3 -3
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@@ -62,9 +62,9 @@ with gr.Blocks() as demo:
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  "Lower WER scores indicate better performance."
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  "\n\n| Model | WER |\n"
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  "|--------------------------|--------------------------|\n"
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- "| [whisper-tiny](https://huggingface.co/openai/whisper-tiny.en) | 0.06175 |\n"
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- "| [wav2vec2-large-960h](https://huggingface.co/facebook/wav2vec2-large-960h) | 0.01617 |\n"
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- "| [distill-whisper-small](https://huggingface.co/distil-whisper/distil-small.en)| 0.04350 |\n"
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  "\n\n### Data Source\n"
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  "The data used in this demo is a subset of the [LibriSpeech](https://huggingface.co/datasets/openslr/librispeech_asr) dataset which contains the first 100 audio samples and their corresponding reference texts in the validation set."
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  ),
 
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  "Lower WER scores indicate better performance."
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  "\n\n| Model | WER |\n"
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  "|--------------------------|--------------------------|\n"
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+ "| [whisper-tiny](https://huggingface.co/openai/whisper-tiny.en) | 0.06052 |\n"
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+ "| [wav2vec2-large-960h](https://huggingface.co/facebook/wav2vec2-large-960h) | 0.02201 |\n"
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+ "| [distill-whisper-small](https://huggingface.co/distil-whisper/distil-small.en)| 0.03959 |\n"
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  "\n\n### Data Source\n"
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  "The data used in this demo is a subset of the [LibriSpeech](https://huggingface.co/datasets/openslr/librispeech_asr) dataset which contains the first 100 audio samples and their corresponding reference texts in the validation set."
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  ),