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fix typo
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@ -100,7 +100,7 @@ Character Error Rates (CERs) listed below are produced by the checkpoint of the
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| Datasets | alimeeting | alimeeting | aishell-1 | aishell-1 | aishell-2 | aishell-2 | aishell-4 | magicdata | magicdata | kespeech-asr | kespeech-asr | kespeech-asr | WenetSpeech | WenetSpeech | WenetSpeech |
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|--------------------------------|-------------------|--------------|----------------|-------------|------------------|-------------|------------------|------------------|-------------|-----------------------|-----------------------|-------------|--------------------|-------------------------|---------------------|
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| Zipformer CER (%) | eval | test | dev | test | dev | test | test | dev | test | dev phase1 | dev phase2 | test | dev | test meeting | test net |
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| Transducer Greedy Offline | 21.67 | 23.43 | 1.22 | 1.31 | 3.17 | 3.27 | 14.64 | 2.42 | 1.99 | 5.00 | 2.29 | 5.98 | 5.15 | 6.89 | 5.85 |
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| Transducer Greedy Offline | 21.67 | 23.43 | 1.22 | 1.31 | 3.17 | 3.27 | 14.64 | 2.42 | 1.99 | 5.00 | 2.29 | 5.98 | 5.15 | 5.85 | 6.89 |
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Pre-trained model can be found here : https://huggingface.co/yuekai/icefall-asr-multi-zh-hans-zipformer-xl
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### Multi Chinese datasets char-based training results (streaming) on zipformer large model
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