Extracting emotions from music data

Authors:
Alicja Wieczorkowska;Piotr Synak;Rory Lewis;Zbigniew W.Raś
Affiliations:
Polish-Japanese Institute of Information Technology, Warsaw, Poland;Polish-Japanese Institute of Information Technology, Warsaw, Poland;Charlotte, Computer Science Dept., University of North Carolina, Charlotte, NC;Polish-Japanese Institute of Information Technology, Warsaw, Poland
Venue:
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Year:
2005

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Abstract

Music is not only a set of sounds, it evokes emotions, subjectively perceived by listeners. The growing amount of audio data available on CDs and in the Internet wakes up a need for content-based searching through these files. The user may be interested in finding pieces in a specific mood. The goal of this paper is to elaborate tools for such a search. A method for the appropriate objective description (parameterization) of audio files is proposed, and experiments on a set of music pieces are described. The results are summarized in concluding chapter.