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Method and apparatus for classifying mood of music at high speed

  • US 7,582,823 B2
  • Filed: 09/12/2006
  • Issued: 09/01/2009
  • Est. Priority Date: 11/11/2005
  • Status: Active Grant
First Claim
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1. A method of classifying a mood of a music file, comprising:

  • extracting a Modified Discrete Cosine Transformation-based timbre feature from a compressed domain of a music file;

    extracting a Modified Discrete Cosine Transformation-based tempo feature from the compressed domain of the music file; and

    classifying a mood of the music file based on the extracted timbre feature and the extracted tempo feature,wherein the extracting the Modified Discrete Cosine Transformation-based timbre feature from the compressed domain of the music file comprises;

    extracting Modified Discrete Cosine Transformation coefficients by decoding a part of the music file;

    selecting the Modified Discrete Cosine Transformation coefficients of a predetermined number of sub-bands from the extracted Modified Discrete Cosine Transformation coefficients; and

    extracting a spectral centroid, a bandwidth, a rolloff, and a flux from the selected Modified Discrete Cosine Transformation coefficients,wherein the classifying the mood of the music file comprises;

    classifying a genre of the music file based on the extracted timbre feature; and

    reclassifying a category of the music file of the genre when uncertainty of a genre classification result is greater than a predetermined value; and

    wherein, in the reclassifying a category of the music file of the genre, the category of the music file of the genre is reclassified based on the extracted tempo feature.

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