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Intelligent Information Processing and Web MiningMulti-Label Classification of Emotions in Music

Intelligent Information Processing and Web Mining: Multi-Label Classification of Emotions in Music [This paper addresses the problem of multi-label classification of emotions in musical recordings. The testing data set contains 875 samples (30 seconds each). The samples were manually labelled into 13 classes, without limits regarding the number of labels for each sample. The experiments and test results are presented.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Intelligent Information Processing and Web MiningMulti-Label Classification of Emotions in Music

Part of the Advances in Soft Computing Book Series (volume 35)
Editors: Kłopotek, Mieczysław A.; Wierzchoń, Sławomir T.; Trojanowski, Krzysztof

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References (26)

Publisher
Springer Berlin Heidelberg
Copyright
© Springer 2006
ISBN
978-3-540-33520-7
Pages
307 –315
DOI
10.1007/3-540-33521-8_30
Publisher site
See Chapter on Publisher Site

Abstract

[This paper addresses the problem of multi-label classification of emotions in musical recordings. The testing data set contains 875 samples (30 seconds each). The samples were manually labelled into 13 classes, without limits regarding the number of labels for each sample. The experiments and test results are presented.]

Published: Jan 1, 2006

Keywords: Audio Data; Music Information Retrieval; Audio Sample; Musical Recording; Ontology Graph

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