Leveraging cross-utterance context for ASR decoding

Flynn, R. and Ragni, A. orcid.org/0000-0003-0634-4456 (2023) Leveraging cross-utterance context for ASR decoding. In: Proceedings of Interspeech 2023. INTERSPEECH 2023, 20-24 Aug 2024, Dublin, Ireland. ISCA - International Speech Communication Association , pp. 1359-1363.

Abstract

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Item Type: Proceedings Paper
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© 2023 The Authors. Except as otherwise noted, this author-accepted version of a paper published in Proceedings of Interspeech 2023 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; language modelling; crossutterance; beam-search; rescoring
Dates:
  • Published: August 2023
  • Published (online): 20 August 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
META PLATFORM INC
UNSPECIFIED
Depositing User: Symplectic Sheffield
Date Deposited: 05 Jun 2024 11:16
Last Modified: 05 Jun 2024 13:05
Status: Published
Publisher: ISCA - International Speech Communication Association
Refereed: Yes
Identification Number: 10.21437/interspeech.2023-1941
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