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README.md
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license: apache-2.0
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---
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language: zh-CN
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datasets:
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- aishell1
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metrics:
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- cer
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tags:
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- audio
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- automatic-speech-recognition
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- speech
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- xlsr-fine-tuning-week
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license: apache-2.0
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model-index:
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- name: XLSR Wav2Vec2 Large 53 - Chinese (zh-CN), by Yue Qin
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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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dataset:
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name: AISHELL-1 zh-CN
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type: aishell1
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args: zh-CN
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metrics:
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- name: Test CER
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type: cer
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value: 7.04
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# Wav2Vec2-Large-XLSR-53-Chinese-zh-CN-aishell1
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Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Chinese using the [AISHELL-1](https://github.com/kaldi-asr/kaldi/tree/master/egs/aishell).
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When using this model, make sure that your speech input is sampled at 16kHz.
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**Test Result**:
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In the table below I report the Character Error Rate (CER) of the model. I ran the evaluation script described above.
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| Model | CER | CER-with-LM |
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| ------------- | ------------- | ------------- |
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| qinyue/wav2vec2-large-xlsr-53-chinese-zn-cn-aishell1 | **7.04%** | **3.96%** |
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