| | |
| | | ## Citations |
| | | |
| | | ``` bibtex |
| | | @inproceedings{gao2020universal, |
| | | title={Universal ASR: Unifying Streaming and Non-Streaming ASR Using a Single Encoder-Decoder Model}, |
| | | author={Gao, Zhifu and Zhang, Shiliang and Lei, Ming and McLoughlin, Ian}, |
| | | booktitle={arXiv preprint arXiv:2010.14099}, |
| | | year={2020} |
| | | } |
| | | |
| | | @inproceedings{gao2022paraformer, |
| | | title={Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition}, |
| | | author={Gao, Zhifu and Zhang, Shiliang and McLoughlin, Ian and Yan, Zhijie}, |
| | | booktitle={INTERSPEECH}, |
| | | year={2022} |
| | | } |
| | | @inproceedings{gao2020universal, |
| | | title={Universal ASR: Unifying Streaming and Non-Streaming ASR Using a Single Encoder-Decoder Model}, |
| | | author={Gao, Zhifu and Zhang, Shiliang and Lei, Ming and McLoughlin, Ian}, |
| | | booktitle={arXiv preprint arXiv:2010.14099}, |
| | | year={2020} |
| | | } |
| | | @inproceedings{Shi2023AchievingTP, |
| | | title={Achieving Timestamp Prediction While Recognizing with Non-Autoregressive End-to-End ASR Model}, |
| | | author={Xian Shi and Yanni Chen and Shiliang Zhang and Zhijie Yan}, |