MERT: Acoustic music understanding model with large-scale self-supervised training

This is a preprint and may not have undergone formal peer review

Li, Y., Yuan, R., Zhang, G. et al. (15 more authors) (Submitted: 2024) MERT: Acoustic music understanding model with large-scale self-supervised training. [Preprint - arXiv] (Submitted)

Metadata

Item Type: Preprint
Authors/Creators:
  • Li, Y.
  • Yuan, R.
  • Zhang, G.
  • Ma, Y.
  • Chen, X.
  • Yin, H.
  • Lin, C.
  • Ragni, A. ORCID logo https://orcid.org/0000-0003-0634-4456
  • Benetos, E.
  • Gyenge, N.
  • Dannenberg, R.B.
  • Liu, R.
  • Chen, W.
  • Xia, G.
  • Shi, Y.
  • Huang, W.
  • Guo, Y.
  • Fu, J.
Copyright, Publisher and Additional Information:

© 2024 The Author(s). This preprint is made available under a Creative Commons Attribution-ShareAlike 4.0 International License. (https://creativecommons.org/licenses/by-sa/4.0/)
Dates:
  • Submitted: 22 April 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: 07 Jun 2024 15:51
Last Modified: 10 Jun 2024 12:15
Status: Submitted
Identification Number: 10.48550/arXiv.2306.00107
Open Archives Initiative ID (OAI ID):

Download

Preprint

Filename: 2306.00107v4.pdf

Licence: CC-BY-SA 4.0

CLICK TO DOWNLOAD [thumbnail of 2306.00107v4.pdf]

Export

Statistics


CORE (COnnecting REpositories)