Real-time genre classification for music digital libraries J. Stephen Downie, Andreas F. Ehmann, and David K. Tcheng   View Paper (PDF)   Return to Poster Session Abstract This poster describes a real-time audio-based automatic music genre classifier for use in organizing, browsing, and searching musical digital libraries. A decision tree classifier trained on a 40-dimension feature space is used to categorize music into one of 14 different genres with the results being displayed to a continuously updating user interface. BIBTEX  1   Aucouturier, J-J., and Pachet, F. 2003. Representing musical genre: A state of the art. Journal of New Music Research 32 (1): 83--93. 2   Tzanetakis, G., and Cook, P. 2002. Musical genre classification of audio signals. IEEE Trans. on Speech and Audio Proc 10 (5): 293--302. 3   Perrot, D., and Gjerdigen, R. 1999. Scanning the dial: An exploration of factors in identification of musical style. In Proc. Soc. Music Perception Cognition, p. 88. }, ©2006 Association for Computing Machinery