Next up for reproduction

C. Lee, J. Shih, K. Yu, and H. Lin, “Automatic music genre classification based on modulation spectral analysis of spectral and cepstral features,” IEEE Trans. Multimedia, vol. 11, pp. 670-682, June 2009.

They report a classification accuracy of 90.6% in GTZAN, and 86.83% in ISMIR2004.

C.-H. Lee, C.-H. Chou, C.-C. Lien, and J.-C. Fang, “Music genre classification using modulation spectral features and multiple prototype vectors representation,” in Int. Cong. Image and Signal Process., 2011.

This one appears to improve on the ISMIR2004 accuracy: 89.99%.

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