Metadata for Audio 25th International AES Conference 17th to 19th June 2004 London UK
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Paper CD6-3

Music Genre Estimation from Low Level Audio Features

Oliver Hellmuth, Eric Allamanche, Thorsten Kastner, Ralf Wistorf, Nicolas Lefebvre, Jürgen Herre
Fraunhofer IIS, Ilmenau, Germany

Despite the subjective nature of associating a certain song or artist with a specific musical genre, this type of characterization is frequently used to provide a convenient way of expressing very coarse information on the basic stylistic and rhythmic elements and/or instrumentation of a song. An audio database that is structured according to different musical genres is a first important step to provide an easy / intuitive access to a large music collection. Thus, a convenient way for indexing large databases by musical genre is desired. This paper describes a system for an automatic genre classification into several musical genres. Different features as well as classification strategies will be evaluated and compared. The system’s performance is assessed by means of a subjective listening test.

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