A deep learning based noise reduction approach to improve speech intelligibility for cochlear implant recipients in the presence of competing speech noise

Syu-Siang Wang, Yu Tsao, Hsiao-Lan Sharon Wang, Ying-Hui Lai, Lieber Po-Hung Li. A deep learning based noise reduction approach to improve speech intelligibility for cochlear implant recipients in the presence of competing speech noise. In 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017, Kuala Lumpur, Malaysia, December 12-15, 2017. pages 808-812, IEEE, 2017. [doi]

@inproceedings{WangTWLL17,
  title = {A deep learning based noise reduction approach to improve speech intelligibility for cochlear implant recipients in the presence of competing speech noise},
  author = {Syu-Siang Wang and Yu Tsao and Hsiao-Lan Sharon Wang and Ying-Hui Lai and Lieber Po-Hung Li},
  year = {2017},
  doi = {10.1109/APSIPA.2017.8282144},
  url = {https://doi.org/10.1109/APSIPA.2017.8282144},
  researchr = {https://researchr.org/publication/WangTWLL17},
  cites = {0},
  citedby = {0},
  pages = {808-812},
  booktitle = {2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017, Kuala Lumpur, Malaysia, December 12-15, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-1542-3},
}