[Zurück]

A. Rauber, E. Pampalk, W. Merkl:
"Content-based Music Indexing and Organization";
in: "Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002)", ACM, 2002, ISBN: 1581135610, S. 409 - 410.

While electronic music archives are gaining popularity, access to and
navigation within these archives is usually limited to text-based queries
or manually predefined genre category browsing.
We present a system that automatically organizes a music collection
according to the perceived sound similarity resembling genres or styles of
music.
Audio signals are processed according to psychoacoustic models to obtain a
time-invariant representation of its characteristics.
Subsequent clustering provides an intuitive interface where similar pieces
of music are grouped together on a map display.

Category: H.5.5 - Information systems - Sound and Music Computing
Category: H.3.1 - Information Systems - Information Storage and Retrieval
[content analysis and indexing]

Keywords: Music Retrieval, Genre, Rhythm, Psychoacoustic Models,
Clustering, Self-Organizing Map, Neural Networks