Using recurrent neural networks to improve the perception of speech in non-stationary noise by people with cochlear implants

• Published in: The Journal of the Acoustical Society of America Vol. 146; no. 1; pp. 705 - 718
• Main Authors: Goehring, Tobias, Keshavarzi, Mahmoud, Carlyon, Robert P., Moore, Brian C. J.
• Format: Journal Article
• Language: English
• Published: United States 01.07.2019

Speech-in-noise perception is a major problem for users of cochlear implants (CIs), especially with non-stationary background noise. Noise-reduction algorithms have produced benefits but relied on a priori information about the target speaker and/or background noise. A recurrent neural network (RNN)...