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    A SVM ¨C Based Classification Approach to Musical Audio

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    Date
    2003-10-26
    Author
    Namunu Chinthaka Maddage
    Changsheng Xu
    Ye Wang
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    Abstract
    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.
    URI
    http://jhir.library.jhu.edu/handle/1774.2/43
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