Genre Classification of Drum Grooves

David Moskowitz

Doctoral Student

Nova Southeastern University

Fall 2011

Abstract

Genre classification is common task in music data mining. However, classification of drum grooves is uncommon and little research has been done in this area. This paper describes an algorithm to model and classify drum grooves. The algorithm is based on music data mining research in areas other than genre classification, specifically musical melody information retrieval. The genre classification results achieved, while promising, are inconclusive and additional research is needed to validate this approach. However, the approach described shows great facility as a new method of drum groove search and retrieval.

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