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Automatic Musical Genre Classification Using a Flexible Approach

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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.

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JAES Volume 56 Issue 7/8 pp. 560-568; July 2008
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Permalink: http://www.aes.org/e-lib/browse.cfm?elib=14400

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