Music emotion ranking

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 1657-1660

  Yang, Yi Hsuan ^a   Chen, Homer H ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Music emotion recognition; Ranking; Rating

Indexed keywords

EMOTION RECOGNITION; INFORMATION ACCESS; LARGE-SCALE DATABASE; MUSIC EMOTION RECOGNITION; RANKING;

ACOUSTICS; SIGNAL PROCESSING;

FACE RECOGNITION;

EID: 70349220926     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4959919     Document Type: Conference Paper

References (19)

1. L. Lu et al, "Automatic mood detection and tracking of music audio signals," IEEE Trans. Audio, Speech, and Language Processing, vol. 14, no. 1, pp. 5-18, 2006.
2. T. Li and M. Ogihara, "Content-based music similarity search and emotion detection," Proc. ICASSP, pp. 17-21, 2006.
3. M. D. Korhonen et al, "Modeling emotional content of music using system identification," IEEE Trans. Syst., Man., Cybern., vol. 36, no. 3, pp. 588-599, 2006.
4. Y.-H. Yang et al, "A regression approach to music emotion recognition," IEEE Trans. Audio, Speech and Language Processing, vol. 16, no. 2, pp. 448-457, 2008.
5. Y.-H. Yang et al, "Mr. Emo: Music retrieval in the emotion plane," Proc. ACM MM, 2008, accepted.
6. E. Schubert, "Measurement and time series analysis of emotion in music," Ph.D. dissertation, School of Music Education, Univ. New South Wales, Sydney, Australia, 1999.
7. J. A. Russell, "A circumplex model of affect", Journal of Personality & Social Psychology, vol. 39, no. 6, pp. 1161-1178, 1980.
8. F. Nagel et al, "EMuJoy: Software for continuous measurement of perceived emotions in music," Behavior Research Methods, vol. 39, no. 2, pp. 283-290, 2007.
9. S. Ovadia, "Ratings and rankings: Reconsidering the structure of values and their measurement," Int. Journal of Social Research Methodology, vol. 7, no. 5, pp. 403-414, 2004.
10. W. W. Cohen et al, "Learning to order things," Journal of Artificial Intelligence Research, vol. 10, pp. 243-270, 1999.
11. R. Herbrich et al, "Support vector learning for ordinal regression," Proc. ICANN, pp. 97-102, 1999.
12. Z. Cao et al, "Learning to rank: from pairwise approach to listwise approach," Proc. ICML, pp. 129-136, 2007.
13. A. J. Smola and B. Schölkopf, "A tutorial on support vector regression," Statistics and Computing, pp. 199-222, 1998.
14. N. Scaringella et al, "Automatic genre classification of music content: a survey," IEEE Signal Processing Magazine, vol. 23, no. 2, pp. 133-141, 2006.
15. G. Tzanetakis and P. Cook, "Musical genre classification of audio signals," IEEE Trans. Speech and Audio Processing, vol. 10, no.5, pp. 293-302, 2002. http://marsyas.sness.net/.
16. MPEG-7 Audio Encoder. http://mpeg7audioenc.sourceforge.net/.
17. M. Kendall, Rank Correlation Methods, Hafner, 1955.
18. C.-C. Chang et al, "LIBSVM: a library for support vector machines," 2001. http://www.csie.ntu.edu.tw/~cjlin/libsvm/.
19. T. Joachims, "Making large-scale SVM learning practical," Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press, 1999.