SVR-based music mood classification and context-based music recommendation

MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums

Volumn , Issue , 2009, Pages 713-716

  Rho, Seungmin ^a   Han, Byeong Jun ^b   Hwang, Eenjun ^b  

^a Carnegie Mellon University   (United States)

^b Korea University   (South Korea)

Author keywords

Classification; Music mood; Ontology; Recommendation; Support vector regression

Indexed keywords

CLASSIFICATION ,; COLLABORATIVE FILTERING; CONTEXT-BASED; EMERGING APPLICATIONS; HUMAN EMOTION; LOW-LEVEL FEATURES; MUSIC MOOD; MUSIC RECOMMENDATION; MUSIC RECOMMENDATION SYSTEM; ONTOLOGY TECHNOLOGY; REGRESSION PROBLEM; SUPPORT VECTOR REGRESSIONS;

FEATURE EXTRACTION; METHOD OF MOMENTS; MULTIMEDIA SYSTEMS; REGRESSION ANALYSIS; TECHNICAL PRESENTATIONS;

ONTOLOGY;

EID: 72449184099     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631272.1631395     Document Type: Conference Paper

References (11)

1. Oscar, C. 2006. Foafing the music: bridging the semantic gap in music recommendation. ISWC.
2. Juslin, P.N., Sloboda, J.A. 2001. Music and emotion: theory and research. New York: Oxford University Press.
3. Lu, Lie., Liu, D., and Zhang, H. J. 2006. Automatic Mood Detection and Tracking of Music Audio Signals. IEEE Trans. on Audio, Speech & Language Processing, Vol. 14(1), 5-18.
4. Thayer, R. E. 1989. The biopsychology of mood and arousal. New York: Oxford University Press.
5. Smola, Alex J., et. al. 2004. A tutorial on support vector regression. Statistics and Computing, vol.14, pp.199-222.
6. Yves, R., Samer, A., Mark, S., and Frederick, G. 2007. The Music Ontology. ISMIR 2007, 417-422.
7. Ellis, Daniel. P.W., Poliner, Graham. E. 2007. Identifying 'Cover Songs' with chroma features and dynamic programming beat tracking. ICASSP, Vol. 4, 1429-1432.
8. Krumhansl, C. 1990. Cognitive foundations of musical pitch. Oxford University Press.
9. Schölkopf, Bernhard., et. al. 2000. New support vector algorithms. Neural Computation, vol.12, 1207-1245.
10. Smola, A., Freiß, T., Schölkopf, Bernhard. 1998. Semiparametric support vector and linear programming machines. Nuero COLT Tech. Report, NC2-TR-1998-024.
11. Chang, Chih-Chung., and Lin, Chih-Jen. 2001. LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/ ~cjlin/libsvm