Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective

Zhong-qiu Wang, Ke Tan, DeLiang Wang. Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019. pages 71-75, IEEE, 2019. [doi]

@inproceedings{WangTW19-3,
  title = {Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective},
  author = {Zhong-qiu Wang and Ke Tan and DeLiang Wang},
  year = {2019},
  doi = {10.1109/ICASSP.2019.8683231},
  url = {https://doi.org/10.1109/ICASSP.2019.8683231},
  researchr = {https://researchr.org/publication/WangTW19-3},
  cites = {0},
  citedby = {0},
  pages = {71-75},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019},
  publisher = {IEEE},
  isbn = {978-1-4799-8131-1},
}