Multi-label Classification of music into emotions

Catégorie

Conference Proceedings

Auteurs

K. Trohidis, G. Tsoumakas, G. Kalliris, I. Vlahavas

Année

2008

Titre

Multi-label Classification of music into emotions

Journal / Livre / Conférence

Résumé

In this paper, the automated detection of emotion in music is
modeled as a multilabel classification task, where a piece of
music may belong to more than one class.Four algorithms
are evaluated and compared in this task. Furthermore, the
predictive power of several audio features is evaluated using
a new multilabel feature selection method. Experiments are
conducted on a set of 593 songs with 6clusters of music
emotions based on the Tellegen-Watson-Clark model

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Mots-clés

music retrieval, machine learning, emotion classification, audio feature extraction

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