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| Head | aishell test 1 / 2 | wenetspeech test-net/meetting | Common Voice zh | kespeech test | librispeech test-clean / other | gigaspeech test | Common voice en | tedium test |
|---|---|---|---|---|---|---|---|---|
| CTC | 3.08 / 3.98 | 7.08 / 7.62 | 9.2 | 11.23 | 3.01 / 6.06 | 11.22 | 15.28 | 10.38 |
| Transducer | 2.67 / 3.67 | 6.79 / 7.33 | 8.97 | 10.67 | 2.61 / 5.36 | 10.56 | 12.94 | 10.06 |
Training set list: Librispeech, Gigaspeech, Commonvoice-2022(zh + en), Libriheavy, Emilia (zh+en), AIshell 2, Wenetspeech, Wenetspeech4tts, Kespeech, AIshell, aidatatang, aishell4, alimeeting, magicdata, primewords, stcmds, thchs30.
@inproceedings{yao2024zipformer,
title={Zipformer: A faster and better encoder for automatic speech recognition},
author={Yao, Zengwei and Guo, Liyong and Yang, Xiaoyu and Kang, Wei and Kuang, Fangjun and Yang, Yifan and Jin, Zengrui and Lin, Long and Povey, Daniel},
booktitle={International Conference on Learning Representations},
volume={2024},
pages={44440--44455},
year={2024}
}
@inproceedings{yao2025cr,
title={Cr-ctc: Consistency regularization on ctc for improved speech recognition},
author={Yao, Zengwei and Kang, Wei and Yang, Xiaoyu and Kuang, Fangjun and Guo, Liyong and Zhu, Han and Jin, Zengrui and Li, Zhaoqing and Lin, Long and Povey, Daniel},
booktitle={International Conference on Learning Representations},
volume={2025},
pages={26850--26868},
year={2025}
}