Using speech foundational models in loss functions for hearing aid speech enhancement

Sutherland, R., Close, G., Hain, T. orcid.org/0000-0003-0939-3464 et al. (2 more authors) (2024) Using speech foundational models in loss functions for hearing aid speech enhancement. In: Proceedings of 2024 32nd European Signal Processing Conference (EUSIPCO). 2024 32nd European Signal Processing Conference (EUSIPCO), 26-30 Aug 2024, Lyon, France. Institute of Electrical and Electronics Engineers (IEEE) , pp. 421-425. ISBN: 9798-331519773 ISSN: 2219-5491 EISSN: 2076-1465

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Item Type: Proceedings Paper
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© 2024 The Authors. Except as otherwise noted, this author-accepted version of a paper published in Proceedings of 2024 32nd European Signal Processing Conference (EUSIPCO) 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: self-supervised speech representations; speech enhancement; loss functions
Dates:
  • Published (online): 23 October 2024
  • Published: 23 October 2024
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: 06 Aug 2025 13:47
Last Modified: 06 Aug 2025 13:49
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.23919/eusipco63174.2024.10714933
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