DF-Conformer: Integrated Architecture of Conv-Tasnet and Conformer Using Linear Complexity Self-Attention for Speech Enhancement

Yuma Koizumi, Shigeki Karita, Scott Wisdom, Hakan Erdogan, John R. Hershey, Llion Jones, Michiel Bacchiani. DF-Conformer: Integrated Architecture of Conv-Tasnet and Conformer Using Linear Complexity Self-Attention for Speech Enhancement. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2021, New Paltz, NY, USA, October 17-20, 2021. pages 161-165, IEEE, 2021. [doi]

@inproceedings{KoizumiKWEHJB21,
  title = {DF-Conformer: Integrated Architecture of Conv-Tasnet and Conformer Using Linear Complexity Self-Attention for Speech Enhancement},
  author = {Yuma Koizumi and Shigeki Karita and Scott Wisdom and Hakan Erdogan and John R. Hershey and Llion Jones and Michiel Bacchiani},
  year = {2021},
  doi = {10.1109/WASPAA52581.2021.9632794},
  url = {https://doi.org/10.1109/WASPAA52581.2021.9632794},
  researchr = {https://researchr.org/publication/KoizumiKWEHJB21},
  cites = {0},
  citedby = {0},
  pages = {161-165},
  booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2021, New Paltz, NY, USA, October 17-20, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-4870-3},
}