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 Chang Dong Yoo},
  journal={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
Highly Cited
This paper has 32 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
24 Citations
10 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 24 extracted citations


Publications referenced by this paper.
Showing 1-10 of 10 references

A large set of audio features for sound description (similarity and classification) in the CUIDADO project

  • G. Peeters
  • CUIDADO I.S.T Project Report, 2004
  • 2004
1 Excerpt

MATLABArsenal: A MATLAB Package for Classification Algorithms

  • R. Yan
  • [Online] Available: http://finalfantasyxi.inf.cs…
  • 1380
1 Excerpt

Similar Papers

Loading similar papers…