Investigating the impact of cross-lingual acoustic-phonetic similarities on multilingual speech recognition

Farooq, M.U. and Hain, T. orcid.org/0000-0003-0939-3464 (2022) Investigating the impact of cross-lingual acoustic-phonetic similarities on multilingual speech recognition. 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. 3849-3853.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 ISCA. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: automatic speech recognition; multilingual; acoustic-phonetic similarities; model fusion
Dates:
  • Accepted: 12 July 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)
Depositing User: Symplectic Sheffield
Date Deposited: 28 Jul 2022 12:45
Last Modified: 01 Nov 2022 18:18
Status: Published
Publisher: International Speech Communication Association
Refereed: Yes
Identification Number: https://doi.org/10.21437/Interspeech.2022-10916
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