On the effectiveness of speech self-supervised learning for music.

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Ma, Y., Yuan, R., Li, Y. et al. (12 more authors) (2023) On the effectiveness of speech self-supervised learning for music. In: Sarti, A., Antonacci, F., Sandler, M., Bestagini, P., Dixon, S., Liang, B., Richard, G. and Pauwels, J., (eds.) ISMIR 2023: 24th International Society for Music Information Retrieval Conference proceedings. 24th International Society for Music Information Retrieval Conference (ISMIR 2023), 05-09 Nov 2023, Milan, Italy. International Society for Music Information Retrieval (ISMIR) , pp. 457-465. ISBN 978-1-7327299-3-3

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Sarti, A.
  • Antonacci, F.
  • Sandler, M.
  • Bestagini, P.
  • Dixon, S.
  • Liang, B.
  • Richard, G.
  • Pauwels, J.
Copyright, Publisher and Additional Information:

© Y. Ma, R. Yuan, Y. Li, G. Zhang et al.. Licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ ). Attribution: Y. Ma, R. Yuan, Y. Li, G. Zhang et al., “On the Effectiveness of Speech Self-Supervised Learning for Music”, in Proc. of the 24th Int. Society for Music Information Retrieval Conf., Milan, Italy, 2023.

Dates:
  • Published: 5 November 2023
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 Jun 2024 13:47
Last Modified: 07 Jun 2024 13:47
Published Version: https://ismir2023program.ismir.net/poster_154.html
Status: Published
Publisher: International Society for Music Information Retrieval (ISMIR)
Refereed: Yes
Related URLs:
Open Archives Initiative ID (OAI ID):

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