Probabilistic estimation of a novel music emotion model

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

Volumn 4903 LNCS, Issue , 2008, Pages 487-497

  Wu, Tien Lin ^a   Jeng, Shyh Kang ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Film music; Musical emotion; Probability distribution; Similarity; SVM

Indexed keywords

FEATURE EXTRACTION; ONLINE SYSTEMS; PROBABILITY DISTRIBUTIONS; WEB BROWSERS;

FILM MUSIC; MUSICAL EMOTION;

COMPUTER MUSIC;

EID: 38549164893     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77409-9_46     Document Type: Conference Paper

References (17)

1. Hevner, K.: Experimental studies of the elements of expression in music. The American Journal of Psychology 48(2), 246-268 (1936)
2. Thayer, R.E.: The Biopsychology of Mood and Arousal. Oxford Univ. Press, Oxford (1989)
3. All Music, http://www.allmusic.com
4. Wu, T.L., Jeng, S.K.: Regrouping expressive terms for musical qualia. In: WOCMAT. Workshop on Computer Music and Audio Technology, Taiwan (2007), \url{http://www2.ee.ntu.edu.tw/~b0501064/paper/WOCMAT_2007_TerryWu.pdf}
5. Meyer, L.: Emotion and meaning in music. University of Chicago Press, Chicago (1956)
6. Tzanetakis, G., Cook, P.: Musical genre classification of audio signals. IEEE Transactions on Speech and Audio Signal Processing 10(5) (2002)
7. Cabrera, D.: PsySound: A computer program for the psychoacoustical analysis of music. In: Proceedings of the Australian Acoustical Society Conference, Melbourne, pp. 47-54 (1999)
8. Li, T., Ogihara, M.: Toward intelligent music information retrieval. IEEE Transactions on Multimedia 8(3) (2006)
9. Lu, L., Liu, D., Zhang, H.-J.: Automatic mood detection and tracking of music audio signals. IEEE Transactions on Audio, Speech, and Language Processing 14(1), 5-18 (2006)
10. Chang, C.-C., Lin, C.-J.: LIBSVM: A library for support vector machines. (2001), Available: http://www.csie.ntu.edu.tw/ cjlin/libsvm
11. Chen, Y.-W., Lin, C.-J.: Combining SVMs with various feature selection strategies. In: Guyon, M.N.I., Gunn, S., Zadeh, L. (eds.) Feature extraction, Foundations and Applications (2005)
12. Johnson, R.A., Wichern, D.W.: Applied multivariate statistical analysis. Englewood Cliffs, NJ: Prentice-Hall (1982)
13. Wu, T.-F., Lin, C.-J., Weng, R.C.: Probability estimates for multi-class classification by pairwise coupling. Journal of Machine Learning Research 5, 975-1005 (2005)
14. Wu, T.L., Jeng, S.K.: Automatic emotion classification of musical segments. In: 9th International Conference on Music Perception and Cognition, Italy, University of Bologna, pp. 385-393 (2006)
15. Gabrielsson, A., Lindstrom, E.: The influence of musical structure on musical expression. In: Juslin, P.A., Sloboda, J.A. (eds.) Music and Emotion: Theory and research, pp. 223248. Oxford University Press, New York (2001)
16. Russell, J.A.: A circumplex model of affect. Journal of Social Psychology 39, 1161-1178 (1980)
17. Wedin, L.: Multidimensional scaling of emotional expression in music. Svensk Tidskrift för Musikforskning 54, 115-131 (1972)