Artificial immune system-based music genre classification

Studies in Computational Intelligence

Volumn 142, Issue , 2008, Pages 191-200

  Sotiropoulos, D N ^a   Lampropoulos, A S ^a   Tsihrintzis, G A ^a  

^a UNIVERSITY OF PIRAEUS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 52049121856     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-68127-4_20     Document Type: Article

References (13)

1. Sotiropoulos, D.N., Lampropoulos, A.S., Tsihrintzis, G.A.: Artificial immune system-based music piece similarity measures and database organization. In: Proc. 5th EURASIP Conference on Speech and Image Processing, Multimedia Communications and Services, Smolenice, Slovak Republic (June 2005)
2. Tzanetakis, G., Cook, P.: Musical genre classification of audio signals. IEEE Transactions on Speech and Audio Processing 10(5) (July 2002)
3. Li, T., Ogihara, M., Li, Q.: A comparative study on content based music genre classification. In: Proc. 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, Toronto, Canada (August 2003)
4. McKinney, M.F., Breebaart, J.: Features for audio and music classification. In: Proc. 4th International Conference on Music Information Retrieval, Washington, D.C., USA (October 2003)
5. Mandel, M., Ellis, D.: Song-level features and support vector machines for music classification. In: Proc. 6th International Conference on Music Information Retrieval, London, UK (September 2005)
6. Lidy, T., Rauber, A.: Evaluation of feature extractors and psycho-acoustic transformations for music genre classification. In: Proc. 6th International Conference on Music Information Retrieval, London, UK (September 2005)
7. Logan, B., Salomon, A.: A music similarity function based on signal analysis. In: Proc. International Conference on Multimedia and Expo, Tokyo, Japan (2003)
8. Pampalk, E., Flexer, A., Widmer, G.: Improvements of audio-based music similarity and genre classification. In: Proc. 6th International Conference on Music Information Retrieval, London, UK (September 2005)
9. Lampropoulos, A.S., Lampropoulou, P.S., Tsihrintzis, G.A.: Musical genre classification enhanced by source separation techniques. In: Proc. 6th International Conference on Music Information Retrieval, London, UK, September 2005, pp. 576-581 (2005)
10. Turnbull, D., Elkan, C.: Fast recognition of musical genres using rbf networks. IEEE Transactions on Knowledge and Data Engineering 17(4) (2005)
11. Watkins, A., Timmis, J.: Artificial immune recognition system (airs): An immune-inspired supervised learning algorithm. Genetic Programming and Evolvable Machines 5, 291-317 (2004)
12. Castro, L.N., Timmis, J.: Artificial Immune Systems: A new Computational Intelligence Approach. Springer, Heidelberg (2002)
13. Tzanetakis, G., Cook, P.: Marsyas: A framework for audio analysis. Organised Sound 4(3) (2000)