Non-intrusive speech intelligibility estimated by metric prediction for hearing impaired individuals for the clarity prediction challenge 1

Close, G., Hollands, S., Hain, T. et al. (1 more author) (2022) Non-intrusive speech intelligibility estimated by metric prediction for hearing impaired individuals for the clarity prediction challenge 1. In: Interspeech 2022 - 23rd Annual Conference of the International Speech Communication Association. Interspeech 2022 - Human and Humanizing Speech Technology, 18-22 Sep 2022, Incheon, Korea. International Speech Communication Association , pp. 3483-3487.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 ISCA. Reproduced in accordance with the publisher's self-archiving policy.
Dates:
  • Accepted: 15 June 2022
  • Published (online): 18 September 2022
  • Published: 18 September 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Sciences Research Council2429310
Depositing User: Symplectic Sheffield
Date Deposited: 05 Aug 2022 13:34
Last Modified: 01 Nov 2022 18:02
Status: Published
Publisher: International Speech Communication Association
Refereed: Yes
Identification Number: https://doi.org/10.21437/Interspeech.2022-10182
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