2Typke R, Wiering F, Veltkamp R C. A survey of music infor- mation retrieval systems[J]. Proc. Int. Conf. Music Inf. Retriev- al,2005 : 153 160.
3Krishna A G, Sreenivas T V. Music instrument recognition: from isolated notes to soIo phrases[-C. Montreal, Canada: IEEE Internation Conference on Acoustics Speech and Signal Process- ing, 2004 : 265-268.
4Logan B, Others. Mel frequency cepstral coefficients for music modelingFC. Plymouth Massachusetts: International Symposi- um on Music Information Retrieval, 2000.
5Subasi A, EEG signal classification using wavelet feature extraction and a mixture of expert model[J]. Expert Systems with Applications,2007, 32(4): 1084-1093.
6Martinez J M. Standards- MPEC7 overview of MPEC7 de- scription tools, part 2[J]. Multimedia, IEEE, 2002,9 (3) : 83- 93.
7O. M..Solomon. The use of DFT windows in signal-to-noise ratio and harmonic distortion computations[J]. IEEE Trans. on Instrum. and Measur, 1994,43(2) : 194-199.
8M. R. Portnoff, Short-time Fourier analysis of sampled speech [J]. IEEE Trans. Aeoust. Speech Signal Process, 1981,29 (3): 364-373.
9Yu C, Ooi B C, Tan K L, et al. Indexing the distance An ef- ficient method to knn processingEC2. Roma, Italy: Proceedings of the 27th VLDB Conference,2001421-430.
10Moreau N, Kim H, Sikora T. Phonetic confusion matrix based spoken document retrievalEC. Proceeding of the 23ra Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000:81 87.
