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http://dx.doi.org/10.5573/ieek.2013.50.12.238

Musical Genre Classification System based on Multiple-Octave Bands  

Byun, Karam (Department of Information and Communication Engineering, Sejong University)
Kim, Moo Young (Department of Information and Communication Engineering, Sejong University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.12, 2013 , pp. 238-244 More about this Journal
Abstract
For musical genre classification, various types of feature vectors are utilized. Mel-frequency cepstral coefficient (MFCC), decorrelated filter bank (DFB), and octave-based spectral contrast (OSC) are widely used as short-term features, and their long-term variations are also utilized. In this paper, OSC features are extracted not only in the single-octave band domain, but also in the multiple-octave band one to capture the correlation between octave bands. As a baseline system, we select the genre classification system that won the fourth place in the 2012 music information retrieval evaluation exchange (MIREX) contest. By applying the OSC features based on multiple-octave bands, we obtain the better classification accuracy by 0.40% and 3.15% for the GTZAN and Ballroom databases, respectively.
Keywords
Music information retrieval; music genre classification; MFCC; DFB; OSC; SVM;
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