Co-occurrence models in music genre classification

2005 IEEE Workshop on Machine Learning for Signal Processing

Volumn , Issue , 2005, Pages 247-252

  Ahrendt, Peter ^a   Larsen, Jan ^a   Goutte, Cyril ^b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b XEROX RESEARCH CENTRE EUROPE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA STRUCTURES; MATHEMATICAL MODELS; PROBABILISTIC LOGICS;

CLASSIFICATION TEST ERRORS; MUSIC GENRE CLASSIFICATION; PROBABILISTIC MODELS;

COMPUTER MUSIC;

EID: 33749063637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2005.1532908     Document Type: Conference Paper

References (13)

1. G. Tzanetakis and P. Cook, "Musical genre classification of audio signals," IEEE Transactions on Speech and Audio Processing, vol. 10, no. 5, July 2002.
2. M. F. McKinney and J. Breebaart, "Features for audio and music classification," in Proceedings of ISMIR, 2003.
3. C. Xu, N. C. Maddage, X. Shao, F. Cao, and Q. Tian, "Musical genre classification using support vector machines," in Proceedings of ICASSP, Hong Kong, China, Apr. 2003, pp. 429-432.
4. T. Hofmann, "Probabilistic latent semantic indexing," in Proceedings of SIGIR, Berkeley, CA, 1999, pp. 35-44.
5. A. D. Patel, "Language, music, syntax and the brain," Nature Neuroscience, vol. 6, no. 7, pp. 674-681, July 2003.
6. D. H. Zanette, "Zipf s law and the creation of musical context," Musicae Scientiae, 2005, In Press.
7. A. Meng, P. Ahrendt, and J. Larsen, "Improving music genre classification using short-time feature integration," in Proceedings of ICASSP, 2005.
8. P. Ahrendt, A. Meng, and J. Larsen, "Decision time horizon for music genre classification using short-time features," in Proceedings of EUSIPCO, 2004.
9. E. Gaussier, C. Goutte, K. Popat, and F. Chen, "Hierarchical model for clustering and categorising documents," in Proceedings of the 24th BCS-IRSG European Colloqium on IR Research (ECIR-02), 2002.
10. T. Hofmann and J. Puzicha, "Unsupervised learning from dyadic data," Tech. Rep. TR-98-042, International Computer Science Institute, Berkeley, CA, December 1998.
11. D. Blei and P. Moreno, "Topic segmentation with an aspect hidden markov model.," in Proceedings of the 24th international ACM SIGIR conference., 2001, pp. 343-348.
12. A. Kaban, E. Bingham, and T. Hirsimki, "Learning to read between the lines: The aspect bernoulli model," in Proceedings of the 4th SIAM International Conference on Data Mining, Lake Buena Vista, Florida, April 2004, pp. 462-466.
13. J. Kittler, M. Hatef, R.P.W. Duin, and J. Matas, "On combining classifiers," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 3, pp. 226-239, 1998.