Fusion of static and transitional information of cepstral and spectral features for music genre classification

Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, APSCC 2008

Volumn , Issue , 2008, Pages 751-756

  Lee, Chang Hsing ^a   Shih, Jau Ling ^a   Yu, Kun Ming ^a   Lin, Hwai San ^a   Wei, Ming Hui ^a  

^a CHUNG HUA UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO ACOUSTICS; FEATURE EXTRACTION; INFORMATION MANAGEMENT; MINING;

AUDIO DESCRIPTION; AUDIO FRAMES; CEPSTRAL; CLASSIFICATION ACCURACY; DECISION LEVEL FUSION; FEATURE LEVEL FUSION; FEATURE VECTORS; INFORMATION FUSION TECHNIQUES; MUSIC DATABASE; MUSIC GENRE CLASSIFICATION; SPECTRAL FEATURE;

CLASSIFICATION (OF INFORMATION);

EID: 67049097554     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/APSCC.2008.95     Document Type: Conference Paper

References (20)

1. G. Tzanetakis and P. Cook, "Musical genre classification of audio signals", IEEE Trans. on Speech and Audio Processing, vol.10, No. 3, pp. 293-302, July 2002. (Pubitemid 34950067)
2. T Li, M. Ogihara, and Q. Li, "A Comparative study on content-based music genre classification", in Proc. of ACM Conf. on Research and Development in Information Retrieval, 2003, pp. 282-289.
3. D. N. Jiang, L. Lu, H. J. Zhang, J. H. Tao, and L. H. Cai, "Music type classification by spectral contrast feature", in Proc. of the IEEE Int. Conf. on Multimedia & Expo, vol.1, 2002, pp. 113-116.
4. K. West and S. Cox, "Features and classifiers for the automatic classification of musical audio signals", Int. Conf. on Music Information Retrieval, 2004.
5. M. F. McKinney and J. Breebaart, "Features for audio and music classification", The 4th Int. Conf. on Music Information Retrieval, 2003, pp. 151-158.
6. J. J. Aucouturier and F. Pachet, "Representing music genres: a state of the art", Journal of New Music Research, vol.32, No. 1, pp. 83-93, 2003.
7. A. Meng, P. Ahrendt, J. Larsen, and L. K. Hansen, "Temporal feature integration for music genre classification", IEEE Trans. on Audio, Speech, and Language Processing, vol.15, No. 5, pp. 1654-1664, July 2007.
8. T. Lidy and A. Rauber, "Evaluation of feature extractors and psycho-acoustic transformations for music genre classification", The 6th Int. Conf. on Music Information Retrieval, 2005, pp. 34-41.
9. C. C. Lin, S. H. Chen, T. K. Truong, and Y. 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, Sep. 2005.
10. A. Deemagarn and A. Kawtrakul, "Thai connected digit speech recognition using hidden markov models", in SPECOM, 731-735, 2004.
11. M. Nosratighods, E. Ambikairajah1, and J. Epps, "Speaker verification using a novel set of dynamic features", The 18th Int. Conf. on Pattern Recognition, vol.4, 2006, pp. 266-269. (Pubitemid 46553412)
12. H. G. Kim, N. Moreau, and T. Sikora, "Audio classification based on MPEG-7 spectral basis representation", IEEE Trans. On Circuits and Systems for Video Technology, vol. 14, no. 5, pp. 716-725, May 2004.
13. J. Bergatra, N. Casagrande, D. Erhan, D. Eck, and B. Kégl, "Aggregate features and Adaboost for music classification", Machine Learning, vol. 65, no. 2-3, pp. 473-484, Jun. 2006.
14. C. Xu, N. C. Maddage, and X. Shao, "Automatic music classification and summarization", IEEE Trans. on Speech and Audio Processing, vol. 13, no. 3, pp. 441-450, 2005.
15. R. Duda, P. Hart, and D. Stork, Pattern Classification, Wiley, 2000.
16. L. Rabiner and B. H. Juang, Fundamentals of Speech Recognition, Prentice-Hall, 1993.
17. J. Kittler, M. Hatef, R. Duin, and J. Matas, "On combining classifiers", IEEE Trans. On Pattern Anal, vol. 20, no. 3, pp. 226-239, Mar. 1998. (Pubitemid 128741312)
18. C. Sanderson, K.K. Paliwal, "Identity verification using speech and face information", on Digital Signal Processing, vol. 14, no. 5, pp. 449-480, 2004.
19. B. Reuderink, "Fusion for audio-visual laughter detection", Technical Report TR-CTIT-07-84 Centre for Telematics and Information Technology, University of Twente, Enschede. ISSN 1381-3625, 2007.
20. http://ismir2004.ismir.net/ISMIR-Contest.html.