A method for music structure analysis using MPEG-4 TwinVQ audio compression

  • Authors:
  • Michihiro Kobayakawa;Mamoru Hoshi

  • Affiliations:
  • Tokyo-Metropolitan College of Industrial Technology and The University of Electro-Communications;The University of Electro-Communications

  • Venue:
  • PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
  • Year:
  • 2010

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Abstract

This present paper propose a method for analyzing a music structure using autocorrelation coefficients computed in the encoding step of TwinVQ audio compression. We phrase the autocorrelation sequence into subsequences by using the extracted musical unit, and then classify the subsequences and assign a label to a class. From a sequence of labels, we extract subsequences of longest match to analyze structure of a piece of music. To evaluate performance of our method, we compare the extracted subsequences by our method with that by hand. The experimental results indicates that our method has a good performance for analyzing structure of a piece of music.