Journal
EGYPTIAN INFORMATICS JOURNAL
Volume 13, Issue 2, Pages 59-63Publisher
CAIRO UNIV, FAC COMPUTERS & INFORMATION
DOI: 10.1016/j.eij.2012.03.001
Keywords
Music genre classification; Entropy; Fractals; Wavelets; SVMs
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In this letter, we present different approaches for music genre classification. The proposed techniques, which are composed of a feature extraction stage followed by a classification procedure, explore both the variations of parameters used as input and the classifier architecture. Tests were carried out with three styles of music, namely blues, classical, and lounge, which are considered informally by some musicians as being big dividers'' among music genres, showing the efficacy of the proposed algorithms and establishing a relationship between the relevance of each set of parameters for each music style and each classifier. In contrast to other works, entropies and fractal dimensions are the features adopted for the classifications. (C) 2012 Faculty of Computers and Information, Cairo University. Production and hosting by Elsevier B.V. All rights reserved.
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