Evaluation of modeling music similarity perception via feature subset selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4511 LNCS, Issue , 2007, Pages 288-297

  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

APPROXIMATION THEORY; COMPUTER MUSIC; DATA STRUCTURES; FEATURE EXTRACTION; NEURAL NETWORKS; USER INTERFACES;

CONTENT BASED MUSIC RETRIEVAL SYSTEM; USER SUPPLIED RELEVANCE FEEDBACK;

INFORMATION RETRIEVAL SYSTEMS;

EID: 37249014984     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73078-1_32     Document Type: Conference Paper

References (10)

1. Tzanetakis, G., Cook, P.: Musical genre classification of audio signals. IEEE Transactions on Speech and Audio Processing 10(5), 293-302 (2002)
2. Kumamoto, T.: Design and evaluation of a music retrieval scheme that adapts to the user's impressions. In: Ardissono, L., Brna, P., Mitrovié, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 287-296, Springer, Heidelberg (2005)
3. Park, K.S., Yoon, W.J., Lee, K.K., Oh, S.H., Kim, K.M.: MRTB framework: A robust content-based music retrieval and browsing system. IEEE Transactions on Consumer Electronics 51(1), 117-122 (2005)
4. Hoashi, K., Matsumo, K., Inoue, N.: Personalization of user profiles for contentbased music retrieval based on relevance feedback. In: Proceedings of ACM International Conference on Multimedia 2003, pp. 110-119. ACM press, New York (2003)
5. Foote, J.T.: Content-based retrieval of music and audio. Procs. Storage and Retrieval for Image and Video Databases (SPIE) 3229, 138-147 (1997)
6. Mandel, M., Poliner, G., Ellis, D.: Support Vector Machine Active Learning for Music Retrieval. ACM Multimedia Systems Journal 12(1), 3-13 (2006)
7. Lampropoulos, A.S., Sotiropoulos, D.N., Tsihrintzis, G.A.: Individualization of music similarity perception via feature subset selection. In: Proceedings of Systems, Man and Cybernetics, 2004 IEEE International Conference, vol. SMC 2004(1), pp. 552-556 (2004)
8. th International Workshop on Image Analysis for Multimedia Interactive Services. WIAMIS (2004)
9. th EURASIP Conference on Speech and Image Processing, Multimedia Communications and Services. ECSIPM (2005)
10. th International Conference on Music Information Retrieval. ISMIR (2005)