An automated method for classifying music signals into genres is proposed. Up to three genres are assigned to each example along with a measure of the degree of influence. The method is based on a structure formed by taxonomy of four hierarchical layers, with 29 genres in the lowest layer and 10 target genres in the higher layers. In more than 77% of the cases there was successful classification. The computational effort is sufficiently low that this method could be used in real time.

Authors: Barbedo, Jayme Garcia Arnal; Lopes, Amauri
Affiliation: Department of Communications, FEEC, UNICAMP, 13.083-852, Campinas, SP, Brazil
JAES Volume 56 Issue 7/8 pp. 560-568; July 2008
Publication Date: August 21, 2008

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