MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids

Ryandhimas Edo Zezario, Fei Chen 0011, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao. MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids. 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 3944-3948, ISCA, 2022. [doi]

@inproceedings{Zezario0FWT22,
  title = {MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids},
  author = {Ryandhimas Edo Zezario and Fei Chen 0011 and Chiou-Shann Fuh and Hsin-Min Wang and Yu Tsao},
  year = {2022},
  doi = {10.21437/Interspeech.2022-10838},
  url = {https://doi.org/10.21437/Interspeech.2022-10838},
  researchr = {https://researchr.org/publication/Zezario0FWT22},
  cites = {0},
  citedby = {0},
  pages = {3944-3948},
  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},
}