Insights on neural representations for end-to-end speech recognition

Ollerenshaw, A. orcid.org/0000-0001-5779-1905, Jalal, M.A. and Hain, T. orcid.org/0000-0003-0939-3464 (2021) Insights on neural representations for end-to-end speech recognition. In: Heřmanský, H., Černocký, H., Burget, L., Lamel, L., Scharenborg, O. and Motlicek, P., (eds.) Interspeech 2021. Interspeech 2021, 30 Aug - 03 Sep 2021, Brno, Czechia. ISCA - International Speech Communication Association , pp. 4079-4083.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 ISCA. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: end-to-end; speech recognition; analysis
Dates:
  • Published (online): 3 September 2020
  • Published: 3 September 2021
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: 17 Jun 2022 13:24
Last Modified: 17 Jun 2022 13:24
Status: Published
Publisher: ISCA - International Speech Communication Association
Refereed: Yes
Identification Number: https://doi.org/10.21437/interspeech.2021-1516
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