Metadata for Audio 25th International AES Conference 17th to 19th June 2004 London UK
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Paper CD6-1

Drum Pattern Based Genre Classification from Popular Music

Christian Uhle, Christian Dittmar
Fraunhofer AEMT, Ilmenau, Germany

This paper addresses the identification of drum patterns and the classification of their musical genres. The drum patterns are estimated from audio data automatically. This process involves the transcription of percussive unpitched instruments with a method based on independent subspace analysis and a robust estimation of the tatum grid and the musical meter. The rhythmic patterns are identified from pattern histograms, describing the frequency of occurrence of the percussive events. The classification procedure evaluates the meter information, the pattern histogram as well as other high-level rhythmic features derived from the estimated drum pattern.

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