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 which is structured according to different musical genres is the 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 which automatically classifies music 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.

Authors: Allamanche, Eric; Kastner, Thorsten; Wistorf, Ralf; Lefebvre, Nicolas; Herre, Juergen
Affiliations: Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany ; Fraunhofer Institute for Digital Media Technology IDMT, Ilmenau, Germany(See document for exact affiliation information.)
AES Conference: 25th International Conference: Metadata for Audio (June 2004)
Paper Number: 6-3
Publication Date: June 1, 2004 Import into BibTeX
Subject: Metadata for Audio
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=12820

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