Computationally-Efficient Speech Enhancement Algorithm for Binaural Hearing Aids

Ayllón D, Gil-Pita R, Rosa-Zurera M. Computationally-Efficient Speech Enhancement Algorithm for Binaural Hearing Aids. In: AES Convention 136. Audio Engineering Society; 2014. Paper 9035. Available from: https://aes.org/publications/elibrary-page/?id=17182

@inproceedings{Ayllon2014_17182,
  author = {Ayllón, David and Gil-Pita, Roberto and Rosa-Zurera, Manuel},
  title = {{Computationally-Efficient Speech Enhancement Algorithm for Binaural Hearing Aids}},
  booktitle = {AES Convention 136},
  note = {Paper 9035},
  year = {2014},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17182}
}

TY  - CPAPER
TI  - Computationally-Efficient Speech Enhancement Algorithm for Binaural Hearing Aids
AU  - Ayllón, David
AU  - Gil-Pita, Roberto
AU  - Rosa-Zurera, Manuel
T2  - AES Convention 136
M1  - Paper 9035
PY  - 2014
DA  - 2014/04/06
UR  - https://aes.org/publications/elibrary-page/?id=17182
PB  - Audio Engineering Society
LA  - en
AB  - The improvement of speech intelligibility in hearing aids is a complex and unsolved problem. The recent development of binaural hearing aids allows the design of speech enhancement algorithms to take advantages of the benefits of binaural hearing. In this paper a novel source separation algorithm for binaural speech enhancement based on supervised machine learning and time-frequency masking is presented. The proposed algorithm requires less than 10% of the available instructions for signal processing in a state-of-the-art hearing aid and obtains good separation performance in terms of WDO for low SNR.
ER  -