Content-based music indexing and organization

Authors:
Andreas Rauber;Elias Pampalk;Dieter Merkl
Affiliations:
Vienna Univ of Technology, Vienna, Austria;Austrian Research Institute for Artificial Intelligence, Vienna, Austria;Vienna Univ of Technology, Vienna, Austria
Venue:
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2002

Citing 5
Cited 1

Query by humming: musical information retrieval in an audio database

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Psychoacoustics: Facts and Models

Psychoacoustics: Facts and Models

Personalization of user profiles for content-based music retrieval based on relevance feedback

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia

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Abstract

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.