Markus Frühwirth, Andreas Rauber
Department of Software Technology, Vienna University of Technology
Favoritenstr. 9 - 11 / 188, A-1040 Wien, Austria
In this paper we present a system based on the Self-Organizing Map which automatically organizes a collection of music files according to their musical genre and sound characteristics. Frequency spectra are used to extract feature vectors describing sound and melody characteristics. A two-stage clustering procedure first groups music segments according to their similarity, followed by a clustering of compositions according to the segment similarities. As a result, pieces of music with similar sound characteristics are found in neighboring regions of the resulting map, thus offering a very intuitive interface to unknown music collections.