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%.