Fast communication: Higher-order moments for musical genre classification

  • Authors:
  • Jin S. Seo;Seungjae Lee

  • Affiliations:
  • Department of EE, Gangneung-Wonju National University, Republic of Korea;Content Research Division, Electronics and Telecommunications Research Institute, Republic of Korea

  • Venue:
  • Signal Processing
  • Year:
  • 2011

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Abstract

This paper presents a study on the performance of the higher-order moments for musical genre classification. Especially the skewness and the kurtosis of the octave-scale subbands are considered. Experimental results on the widely used music datasets show that the higher-order moment features can improve classification accuracy when combined with the conventional lower-order moment features.