| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 563666 | Signal Processing | 2011 | 4 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Jin S. Seo, Seungjae Lee,