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The Mandarin-wav2vec2.0 model is pre-trained on 1000 hours of AISHELL-2 dataset. The pre-training detail can be found at https://github.com/kehanlu/mandarin-wav2vec2. This model is fine-tuned on 178 hours of AISHELL-1 dataset and is the baseline model in the paper "A context-aware knowledge transferring strategy for CTC-based ASR
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"([preprint](https://arxiv.org/abs/2210.06244)).
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|CER|dev|test|
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|vanilla w2v2-CTC | 4.85 | 5.13|
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The Mandarin-wav2vec2.0 model is pre-trained on 1000 hours of AISHELL-2 dataset. The pre-training detail can be found at https://github.com/kehanlu/mandarin-wav2vec2. This model is fine-tuned on 178 hours of AISHELL-1 dataset and is the baseline model in the paper "A context-aware knowledge transferring strategy for CTC-based ASR
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"([preprint](https://arxiv.org/abs/2210.06244)).
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## Results on AISHELL-1
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|CER|dev|test|
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|vanilla w2v2-CTC | 4.85 | 5.13|
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