User-adaptive music emotion recognition

International Conference on Signal Processing Proceedings, ICSP

Volumn 2, Issue , 2004, Pages 1352-1355

  Wang, Muyuan ^a   Hang, Naiyao ^a   Zhu, Hancheng ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COGNITIVE SYSTEMS; COMPUTATIONAL METHODS; FUZZY SETS; HUMAN COMPUTER INTERACTION; INFORMATION RETRIEVAL; PATTERN RECOGNITION;

FUZZY CLASSIFIERS; MUSIC EMOTION RECOGNITION; SUPPORT VECTOR MACHINE (SVM);

COMPUTER MUSIC;

EID: 7744228161     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Picard, R. W. Affective Computing, MIT Press, 1997
2. Liu, D., Zhang, N. Y. & Zhu, H. C. Form and mood recognition of Johann Strauss's waltz centos Chinese Journal of Electronics, 3. (in press)
3. Liu, D., Lu, L. & Zhang, H.-J. Automatic Mood Detection from Acoustic Music, Proc. of International Symposium on Music Information Retrieval, 2003
4. Thayer, R.E. The Biopsychology of Mood and Arousal. New York: Oxford University Press, 1989
5. Huron, D., Kinney, D. & Precoda, K. Relation of pitch height to perception of dominance/submissiveness in musical passages. Music Perception, vol. 10 (1) 83-92, 2000
6. Krumhansl, C. L. Music: a link between cognition and emotion. Current Directions in Psychological Science, 11(2), 45-50, 2002
7. Chew, E. Modeling Tonality: Applications to Music Cognition. Proc. of the 23rd Annual Meeting of the Cognitive Science Society, 2001
8. th International Conference on Music Perception and Cognition, 2000
9. Vapnik, V. The Nature of Statistical Learning Theory. Springer Press, second edition, 1999