Semi-supervised learning for automatic speech recognition with word error rate estimation and targeted domain data selection

Park, C. and Hain, T. orcid.org/0000-0003-0939-3464 (2025) Semi-supervised learning for automatic speech recognition with word error rate estimation and targeted domain data selection. In: Scharenborg, O., Oertel, C. and Truong, K., (eds.) Proceedings of Interspeech 2025. Interspeech 2025, 17-21 Aug 2025, Rotterdam, The Netherlands. International Speech Communication Association (ISCA) , pp. 3663-3667. ISSN: 2958-1796 EISSN: 2958-1796

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Scharenborg, O.
  • Oertel, C.
  • Truong, K.
Copyright, Publisher and Additional Information:

© 2025 The Authors. Except as otherwise noted, this author-accepted version of a paper published in Proceedings of Interspeech 2025 is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: speech recognition; semi-supervised learning; word error rate estimation; acoustic domain similarity
Dates:
  • Accepted: 3 June 2025
  • Published (online): 17 August 2025
  • Published: 17 August 2025
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: 07 Aug 2025 15:03
Last Modified: 20 Aug 2025 13:21
Published Version: https://www.isca-archive.org/interspeech_2025/park...
Status: Published
Publisher: International Speech Communication Association (ISCA)
Refereed: Yes
Identification Number: 10.21437/Interspeech.2025-191
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Open Archives Initiative ID (OAI ID):

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