Andreas Rauber
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.
- H. Fast. Fluctuation strength and temporal masking patterns of amplitude-modulated broad-band noise. Hearing Research, 8:59--69, 1982.]]Google Scholar
Cross Ref
- A. Ghias et al. Query by humming: Musical information retrieval in an audio database. In Proc ACM Int'l Conf on Multimedia, 1995. ACM.]] Google ScholarDigital Library
- T. Kohonen. Self-organizing maps. Springer-Verlag, Berlin, 1995.]] Google ScholarDigital Library
- N. Kosugi, et al. A practical query-by-humming system for a large music database. In Proc ACM Int'l Conf on Multimedia, 2000. ACM.]] Google ScholarDigital Library
- E. Pampalk, A. Rauber, and D. Merkl. Using smoothed data histograms for cluster visualization in self-organizing maps. In Proc Int'l Conf on Neural Networks (ICANN), 2002. Springer.]] Google ScholarDigital Library
- A. Rauber and M. Frühwirth. Automatically analyzing and organizing music archives. In Proc Europ Conf on Research and Advanced Technology for Digital Libraries, 2001. Springer.]] Google ScholarDigital Library
- M. Schröder, B. Atal, and J. Hall. Optimizing digital speech coders by exploiting masking properties of the human ear. J. of the Acoustical Society of America, 66:1647--1652, 1979.]]Google ScholarCross Ref
- G. Zanetakis, G. Essl, and P. Cook. Automatic musical genre classification of audio signals. In Proc Int'l Symp on Music Information Retrieval, 2001.]]Google Scholar
- E. Zwicker and H. Fastl. Psychoacoustics, Facts and Models. Springer, Berlin, 1999.]] Google ScholarDigital Library
- Content-based music indexing and organization
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