Automatic music genre classification based on wavelet package transform and best basis algorithm

ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems

Volumn , Issue , 2012, Pages 3202-3205

  Chen, Shih Hao ^a   Chen, Shi Huang ^b   Truong, Trieu Kien ^a  

^a I SHOU UNIVERSITY   (Taiwan)

^b SHU TE UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

BEST BASIS; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; DATA SETS; DECOMPOSITION COEFFICIENT; DETAIL COEFFICIENTS; EXPERIMENTAL SETUP; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; MUSIC GENRE; MUSIC GENRE CLASSIFICATION; MUSIC SIGNALS; SEARCH STRATEGIES; SHANNON ENTROPY; TOPDOWN; WAVELET PACKAGE TRANSFORM;

APPROXIMATION ALGORITHMS; CLASSIFICATION (OF INFORMATION); SIGNAL PROCESSING; SPEECH RECOGNITION; SUPPORT VECTOR MACHINES; WAVELET DECOMPOSITION;

COMPUTER MUSIC;

EID: 84866594868     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2012.6272004     Document Type: Conference Paper

References (18)

1. A. Flexer,"A closer look on artist filters for musical genre classification," In Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR'07), Vienna, Austria, 2007.
2. George Tzanetakis and Perry Cook,"Musical genre classification of audio signals," IEEE Transactions on Speech and Audio Processing, 10(5):pp. 293-302, 2002.
3. Nicolas Scaringella, Giorgio Zoia, and Daniel Mlynek,"Automatic genre classification of music content: a survey, IEEE Signal Processing Magazine, Vol. 23, Issue 2, pp. 133-141, 2006.
4. Tao Li and G. Tzanetakis,"Factors in automatic musical genre classification of audio signals," In Proceeding of 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 143-146, Oct. 2003.
5. Dalwon Jang; Minho Jin; C. D. Yoo,"Music genre classification using novel features and a weighted voting method," In Proceeding of the 2008 IEEE International Conference on Multimedia and Expo, pp. 1377-1380, April 2008.
6. A. Meng, P. Ahrendt, J. Larsen, L. K. Hansen,"Temporal Feature Integration for Music Genre Classification," IEEE Trans. on Speech and Audio Processing, Vol. 15, No. 5, pp. 1654-1664, 2007.
7. R. R. Coifman and M. V. Wickerhauser, Entropy-based algorithms for best basic selection," IEEE Trans. Inf. Theory, vol 38, no. 2, pp. 713-718, Mar. 1992.
8. Ashraf A. Kassim, Niu Yan and Dornoosh Zonoobi,"Wavelet packet transform basis selection method for set partitioning in hierarchical trees," Journal of Electronic Imaging, vol 17, no. 3, pp. 033007-1-033007-9, Jul-Sep 2008.
9. G. Tzanetakis and P. Cook,"Musical genre classification of audio signals," IEEE Trans. Speech Audio Process., vol. 10, no. 5, pp. 293-302, Jul. 2002.
10. C. C. Lin, S. H. Chen, T. K. Truong, and Yukon Chang,"Audio Classification and Categorization Based on Wavelets and Support Vector Machine," IEEE Trans. on Speech and Audio Processing, Vol. 13, No. 5, pp. 644-651, Sept. 2005.
11. L. Rabiner and B. H. Juang, Fundamentals of Speech Recognition, Prentice Hall, 1993.
12. S. B. Davis and P. Mermelstein,"Comparison of Parametric Representation for Monosyllabic Word Recognition in Continuously Spoken Sentences", IEEE Trans. On ASSP, vol. ASSP 28, no. 4, pp. 357-365, Aug. 1980.
13. Chia-Ping Chen and J. A. Bilmes,"MVA Processing of Speech Features," IEEE Transactions on Audio, Speech, and Language Processing, Vol. 15, No. 1, pp. 257-270, Jan. 2007.
14. V. N. Vapnik, Statistical Learning Theory, John Wiley & Sons, 1998.
15. T. Lidy and A. Rauber,"Evaluation of feature extractors and psychoacoustic transformations for music genre classification," in Proc. 6th Int. Conf. Music Information Retrieval, 2005, pp. 34-41.
16. Y. Song and C. Zhang,"Content-based information fusion for semisupervised music genre classification," IEEE Trans. Multimedia, vol. 10, no. 1, pp. 145-152, Jan. 2008.
17. C. H. Lee, J. L. Shih, K. M. Yu, and H. S. Lin,"Automatic Music Genre Classification Based and Cepstral Features," IEEE Trans. on Multimedia Vol. 11, No. 4,June. 2009.
18. T. Li and M. Ogihara,"Toward intelligent music information retrieval," IEEE Trans. Multimedia, vol. 8, no. 3, pp. 564-573, Jun. 2006.