Modified AIS-based classifier for music genre classification

Proceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR 2010

Volumn , Issue , 2010, Pages 369-374

  Draman, Noor Azilah ^a   Wilson, Campbell ^a   Ling, Sea ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM; CLASSIFICATION TECHNIQUE; CONTENT REPRESENTATION; FEATURE EXTRACTION AND CLASSIFICATION; FINDING SOLUTIONS; HUMAN CAPABILITY; MUSIC CONTENTS; MUSIC GENRE CLASSIFICATION; NEGATIVE SELECTION ALGORITHM;

FEATURE EXTRACTION;

INFORMATION RETRIEVAL;

EID: 84873599760     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. G. Tzanetakis and P. Cook, "Musical genre classification of audio signals", IEEE Transactions on Speech and Audio Processing, vol.10, no.5, pp. 293-302, 2002.
2. Draman, A. K. "Authorship invarianceness for writer identification using invariant discretiation and modified immune classifier", PhD thesis. University of Technology Malaysia, 2009.
3. Lippens, S., Martens, J. P. & Mulder, T. D. "A comparison of human and automatic musical genre classification" Acoustics, Speech, and Signal Processing, 2004.
4. Brecheisen, S., Kriegel, H. P., Kunath, P. & Pryakhin, A. "Hierarchical genre classification for large music collections". 2006 IEEE InternationalConference on Multimedia and Expo - ICME 2006, Vols 1-5, Proceedings, 1385-1388, 2006.
5. Ahrendt, P., Larsen, J. & Goutte, C. "Co-occurrence models in music genre classification". 2005 IEEE Workshop on Machine Learning for Signal Processing (MLSP), 247-252, 2005.
6. Bagci, U. & Erzin, E. "Boosting classifiers for music genre classification". Computer and Information Sciences - Iscis 2005, Proceedings, 3733, 575-584, 2005.
7. Bagci, U. & Erzin, E. "Inter genre similarity modeling for automatic music genre classification". 2006 IEEE 14th Signal Processing and Communications Applications, Vols 1 and 2, 639- 642, 2006.
8. Cataltepe, Z., Yaslan, Y. & Sonmez, A. "Music genre classification using MIDI and audio features", Eurasip Journal on Advances in Signal Processing, 2007.
9. Cheng, H. T., Yang, Y. H., Lin, Y. C., Liao, I. B. & Chen, H. H. "Automatic Chord Recognition for Music Classification and Retrieval". Ieee International Conference on Multimedia and Expo, Vols 1-4, 1505-1508, 2008.
10. T. Li, M. Ogihara and Q. Li, "A comparative study on content-based music genre classification", Proceedings of the 26th annual international ACM SIGIR, Toronto, Canada, pp. 282-289, 2003.
11. R. Neumayer and A Rauber, "Integration of text and audio features for genre classification in music information retrieval", In Proceeding of 29th European Conference on Information Retrieval, Rome, Italy, pp. 724-727, 2007.
12. Shen, J. L., Shepherd, J. & Ngu, A. H. H. "On efficient music genre classification". Database Systems for Advanced Applications, Proceedings, 3453, 253-264.
13. Mckay, C. & Fujinaga, I. "Musical genre classification: Is it worth pursuing and how can it be improved". ISMIR 2006. Victoria Canada.
14. Lee, C. H., Shih, J. L., Yu, K. M. & Lin, H. S. "Automatic Music Genre Classification Based on Modulation Spectral Analysis of Spectral and Cepstral Features". Ieee Transactions on Multimedia, 11, 670-682, 2009.
15. L.N. de Casto and J. Timmis, "Artificial immune system: A new computational intelligence approach", Great Britain, Springer, pp. 76-79, 2002.
16. S. Doraisamy, S. Golzari, N. M. Norowi, M. N. Sulaiman and N. I. Udzir, "A study on feature selection and classification techniques for automatic genre classification of traditional Malay music", in Proceedings of Ninth International Conference on Music Information Retrieval (ISMIR'08), Philadelphia, Pennsylvania USA, pp. 331-336, 2008.
17. D.N. Sotiropoulus, A.S. Lampropoulus and G.A. Tsihrintzis, "Artificial immune system-based music genre classification", in New Directions in Intelligent Interactive Multimedia, pp. 191-200, 2008.
18. R.-B. Xiao, L. Wang and Y. Liu, "A framework of AIS based pattern classification and matching for engineering creative design", in Proceedings of the First International Conference on Machine Learning and Cybernetics, Beijing, China, pp. 1554-1558, 2002.
19. S. Forrest, A.S. Perelson, L. Allen and R. Cherukuri, "Self-nonself discrimination in a computer", in Proceedings of 1994 IEEE Computer Society Symposium on Research in Security and Privacy, Oakland, CA, USA, pp. 202-212, 1994.
20. C.N. Silla, A.L. Koerich and C.A.A. Kaestner, " The Latin Music Database"Proceedings of Ninth International Conference on Music Information Retrieval (ISMIR'08), Philadelphia, Pennsylvania USA, 2008, pp. 331-336.
21. C.N Silla, A.L Koerich ans C.A.A Kaesner. "A feature selection approach for music genre classification". International Journal of Semantic Computing, Vol 3, No 2, 183 -208, 2009.
22. G. Tzanetakis, P.Cook, "MARSYAS: A Framework for Audio Analysis". Organized Sound Journal. Vol 4 (3), 2000.
23. Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten, "The WEKA Data Mining Software: An Update"; SIGKDD Explorations, Volume 11, Issue 1, 2009.