Unsupervised Incremental Online Learning and Prediction of Musical Audio Signals

Marxer, R. and Purwins, H. (2016) Unsupervised Incremental Online Learning and Prediction of Musical Audio Signals. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 24 (5). pp. 863-874. ISSN 2329-9290

Abstract

Metadata

Authors/Creators:
  • Marxer, R.
  • Purwins, H.
Copyright, Publisher and Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Prediction algorithms; music information retrieval; adaptive algorithms
Dates:
  • Published: 15 February 2016
  • Published (online): 15 February 2016
  • Accepted: 16 December 2015
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: 21 Sep 2016 10:22
Last Modified: 21 Mar 2018 16:50
Published Version: http://dx.doi.org/10.1109/TASLP.2016.2530409
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TASLP.2016.2530409

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