📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Recovering speech intelligibility with deep learning and multiple microphones in noisy-reverberant situations for people using cochlear implants (2023)

First Author: Gaultier C

Attributed to: Restoring the sense of sound: deep-learning based compensation strategies for the electro-neural transmission of sound by cochlear implants funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.31234/osf.io/5e2mu

Publication URI: http://dx.doi.org/10.31234/osf.io/5e2mu

Type: Preprint