Music genre classification via joint sparse low-rank representation of audio features

Article


Panagakis, Y., Kotropoulos, C. and Arce, G. 2014. Music genre classification via joint sparse low-rank representation of audio features. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 22 (12), pp. 1905-1917. https://doi.org/10.1109/TASLP.2014.2355774
TypeArticle
TitleMusic genre classification via joint sparse low-rank representation of audio features
AuthorsPanagakis, Y., Kotropoulos, C. and Arce, G.
Abstract

A novel framework for music genre classification, namely the joint sparse low-rank representation (JSLRR) is proposed in order to: 1) smooth the noise in the test samples, and 2) identify the subspaces that the test samples lie onto. An efficient algorithm is proposed for obtaining the JSLRR and a novel classifier is developed, which is referred to as the JSLRR-based classifier. Special cases of the JSLRR-based classifier are the joint sparse representation-based classifier and the low-rank representation-based one. The performance of the three aforementioned classifiers is compared against that of the sparse representation-based classifier, the nearest subspace classifier, the support vector machines, and the nearest neighbor classifier for music genre classification on six manually annotated benchmark datasets. The best classification results reported here are comparable with or slightly superior than those obtained by the state-of-the-art music genre classification methods.

PublisherInstitute of Electrical and Electronics Engineers (IEEE)
JournalIEEE/ACM Transactions on Audio, Speech, and Language Processing
ISSN2329-9290
Publication dates
Online08 Sep 2014
Print01 Dec 2014
Publication process dates
Deposited06 Mar 2018
Accepted10 Aug 2014
Output statusPublished
Accepted author manuscript
Copyright Statement

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/TASLP.2014.2355774
LanguageEnglish
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