The effect of spoken language on speech enhancement using self-supervised speech representation loss functions

Close, G. orcid.org/0000-0002-9478-5421, Hain, T. orcid.org/0000-0003-0939-3464 and Goetze, S. orcid.org/0000-0003-1044-7343 (2023) The effect of spoken language on speech enhancement using self-supervised speech representation loss functions. In: Proceedings of 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 22-25 Oct 2023, New Paltz, NY, USA. Institute of Electrical and Electronics Engineers (IEEE) ISBN 9798350323733

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Item Type: Proceedings Paper
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© 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Proceedings of 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 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 enhancement; self-supervised speech representations; language; domain adaption; neural networks
Dates:
  • Published (online): 15 September 2023
  • Published: 15 September 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
Engineering and Physical Sciences Research Council
EP/S023062/1
Depositing User: Symplectic Sheffield
Date Deposited: 18 Jul 2025 13:22
Last Modified: 19 Jul 2025 23:41
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/waspaa58266.2023.10248166
Open Archives Initiative ID (OAI ID):

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