Flexible Evidence Model to Reduce Uncertainty Mismatch Between Speech Enhancement and ASR Based on Encoder-Decoder Architecture

Ryu Takeda, Yui Sudo, Kazunori Komatani. Flexible Evidence Model to Reduce Uncertainty Mismatch Between Speech Enhancement and ASR Based on Encoder-Decoder Architecture. In Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Taipei, Taiwan, October 31 - Nov. 3, 2023. pages 1830-1837, IEEE, 2023. [doi]

@inproceedings{TakedaSK23,
  title = {Flexible Evidence Model to Reduce Uncertainty Mismatch Between Speech Enhancement and ASR Based on Encoder-Decoder Architecture},
  author = {Ryu Takeda and Yui Sudo and Kazunori Komatani},
  year = {2023},
  doi = {10.1109/APSIPAASC58517.2023.10317247},
  url = {https://doi.org/10.1109/APSIPAASC58517.2023.10317247},
  researchr = {https://researchr.org/publication/TakedaSK23},
  cites = {0},
  citedby = {0},
  pages = {1830-1837},
  booktitle = {Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Taipei, Taiwan, October 31 - Nov. 3, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-0067-3},
}