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Music type classification by spectral contrast feature

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5 Author(s)
Dan-ning Jiang ; Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China ; Lie Lu ; Hong-Jiang Zhang ; Jian-Hua Tao
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Automatic music type classification is very helpful for the management of digital music databases. In this paper, the octave-based spectral contrast feature is proposed to represent the spectral characteristics of a music clip. It represented the relative spectral distribution instead of average spectral envelope. Experiments show that the octave-based spectral contrast feature performs well in music type classification. Another comparison experiment demonstrates that the octave-based spectral contrast feature has a better discrimination among different music types than mel-frequency cepstral coefficients (MFCC), which is often used in previous music type classification systems.

Published in:

Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on  (Volume:1 )

Date of Conference:

2002