Global Signal-to-noise Ratio Estimation Based on Multi-subband Processing Using Convolutional Neural Network

Nan Li, Meng Ge, Longbiao Wang, Masashi Unoki, Sheng Li 0010, Jianwu Dang. Global Signal-to-noise Ratio Estimation Based on Multi-subband Processing Using Convolutional Neural Network. 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 361-365, ISCA, 2022. [doi]

@inproceedings{LiGWU0D22,
  title = {Global Signal-to-noise Ratio Estimation Based on Multi-subband Processing Using Convolutional Neural Network},
  author = {Nan Li and Meng Ge and Longbiao Wang and Masashi Unoki and Sheng Li 0010 and Jianwu Dang},
  year = {2022},
  doi = {10.21437/Interspeech.2022-154},
  url = {https://doi.org/10.21437/Interspeech.2022-154},
  researchr = {https://researchr.org/publication/LiGWU0D22},
  cites = {0},
  citedby = {0},
  pages = {361-365},
  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},
}