Paper Details

  • Title:

    Multilabel Classification of Music into Emotions

  • Author(s):

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

  • Keywords: -
  • Abstract:

    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 6 clusters of music emotions based on the Tellegen-Watson-Clark model. Results provide interesting insights into the quality of the discussed algorithms and features.

  • Category: Conference Papers
  • Tags: 2008 Trohidis Tsoumakas Kalliris Vlahavas