Personalized music emotion recognition

Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009

Volumn , Issue , 2009, Pages 748-749

  Yang, Yi Hsuan ^a   Lin, Yu Ching ^a   Chen, Homer ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Emotion; Perceptual residual; Personalization

Indexed keywords

EMOTION RECOGNITION; EVALUATION RESULTS; INDIVIDUAL DIFFERENCES; MUSIC RETRIEVAL; NOVEL METHODS; PERSONALIZATIONS; RETRIEVAL METHODS; RETRIEVAL MODELS;

COMPUTER MUSIC; FACE RECOGNITION; INFORMATION RETRIEVAL; INFORMATION SERVICES; NATURAL LANGUAGE PROCESSING SYSTEMS;

RESEARCH;

EID: 72449127098     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1571941.1572109     Document Type: Conference Paper

References (7)

1. Y.-H. Yang et al, "A regression approach to music emotion recognition," IEEE Transactions on Audio, Speech and Language Processing, vol. 16, no. 2, pp. 448-457, 2008.
2. A. S. Harpale and Y.-M. Yang, "Personalized active learning for collaborative filtering," ACM SIGIR, pp.259-266, 2008.
3. C. Dorai et al, "Computational media aesthetics: finding meaning beautiful," IEEE Multimedia, vol. 8, no. 4, 2001.
4. R. E. Thayer, The Biopsychology of Mood and Arousal, New York, Oxford University Press, 1989.
5. M. A. Casey et al, "Content-based music information retrieval: Current directions and future challenges," Proceedings of the IEEE, vol. 96, no. 4, pp. 668-696, 2008.
6. C.-C. Chang and C.-J. Lin, "LIBSVM: a library for support vector machines," 2001.
7. A. Sen and M. Srivastava, Regression Analysis: Theory, Methods, and Applications, New York, Springer, 1990.