A SVM ¨C Based Classification Approach to Musical Audio
Johns Hopkins University
This paper describes an automatic heirarchical music classification approach based on support vector machines (SVM). Based on the proposed method, the music is classified into coursed classes such as vocal, instrumental or vocal mixed with instrumental music. These main classes are further sub-classed according to gender and instrument type. A novel method, Correction Algorithm for Music Sequence (CAMS) has been developed to imporve the classification efficiency.
Music Analysis, Audio