Music genre classification using novel features and a weighted voting method

  title={Music genre classification using novel features and a weighted voting method},
  author={Dalwon Jang and Minho Jin and C. Yoo},
  journal={2008 IEEE International Conference on Multimedia and Expo},
  • Dalwon Jang, Minho Jin, C. Yoo
  • Published 2008
  • Computer Science
  • 2008 IEEE International Conference on Multimedia and Expo
  • This paper proposes a novel music genre classification system based on two novel features and a weighted voting. The proposed features, modulation spectral flatness measure (MSFM) and modulation spectral crest measure (MSCM), represent the time-varying behavior of a music and indicate the beat strength. The weighted voting method determines the music genre by summarizing the classification results of consecutive time segments. Experimental results show that the proposed features give more… CONTINUE READING

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    A comparative study on content-based music genre classification
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