Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies

Zehan Li, Haoran Miao, Keqi Deng, Gaofeng Cheng, Sanli Tian, Ta Li, Yonghong Yan 0002. Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies. In Hanseok Ko, John H. L. Hansen, editors, Interspeech 2022, 23rd Annual Conference of the International Speech Communication Association, Incheon, Korea, 18-22 September 2022. pages 1671-1675, ISCA, 2022. [doi]

@inproceedings{LiMDCTL022,
  title = {Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies},
  author = {Zehan Li and Haoran Miao and Keqi Deng and Gaofeng Cheng and Sanli Tian and Ta Li and Yonghong Yan 0002},
  year = {2022},
  doi = {10.21437/Interspeech.2022-707},
  url = {https://doi.org/10.21437/Interspeech.2022-707},
  researchr = {https://researchr.org/publication/LiMDCTL022},
  cites = {0},
  citedby = {0},
  pages = {1671-1675},
  booktitle = {Interspeech 2022, 23rd Annual Conference of the International Speech Communication Association, Incheon, Korea, 18-22 September 2022},
  editor = {Hanseok Ko and John H. L. Hansen},
  publisher = {ISCA},
}