Exploring the relationship between categorical and dimensional emotion semantics of music

MIRUM 2012 - Proceedings of the 2nd International ACM Workshop on Music Information Retrieval with User-Centered and Multimodal Strategies, Co-located with ACM Multimedia 2012

Volumn , Issue , 2012, Pages 63-68

  Wang, Ju Chiang ^a,b   Yang, Yi Hsuan ^a   Chang, Kaichun ^c   Wang, Hsin Min ^a   Jeng, Shyh Kang ^b  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Automatic layout of tag cloud; Computational music emotion analysis; Multi modal emotion semantic modeling

Indexed keywords

AUTOMATIC LAYOUT; COMPUTATIONAL MODEL; COMPUTATIONAL MODELING; CONTENT-BASED; DISCRETE/CONTINUOUS; EMOTION ANALYSIS; EMOTION SEMANTICS; ENGLISH WORD; GROUND TRUTH; NUMERICAL VALUES; PROBABILISTIC FRAMEWORK; SEMANTIC MAPPING;

COMPUTER MUSIC; DATA MINING; INFORMATION RETRIEVAL; METADATA;

SEMANTICS;

EID: 84870516816     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2390848.2390865     Document Type: Conference Paper

References (24)

1. P. N. Juslin and P. Laukka. 2004. Expression, perception, and induction of musical emotions: A review and a questionnaire study of everyday listening. J. New Music Research, 33, 3, pp. 217-238.
2. X. Hu, et al. 2008. The 2007 MIREX audio mood classification task: Lessons learned. In Proc. ISMIR.
3. C. Laurier, M. Sordo, J. Serrà, P. Herrera. 2009. Music mood representations from social tags. In Proc. ISMIR.
4. Y.-H. Yang and H. H. Chen. 2011. Music Emotion Recognition, Cambridge: CRC Press.
5. T. Eerola, O. Lartillot, and P. Toiviainen. 2009. Prediction of multidimensional emotional ratings in music from audio using multivariate regression models. In Proc. ISMIR.
6. Y. E. Kim, et al. 2010. Music emotion recognition: A state of the art review. In Proc. ISMIR, pp. 255-266.
7. J. A. Russell. 1980. A circumplex model of affect. J. Personality and Social Science, 39, 6, pp. 1161-1178.
8. J. A. Sloboda and P. N. Juslin. 2011. Psychological Perspectives on Music and Emotion. Music and Emotion: Theory and Research, New York: Oxford University Press.
9. E. Pampalk, et al. 2002. Content-based organization and visualization of music archives. In Proc. ACM Multimedia.
10. C. M. Whissel. 1989. The dictionary of affect in language. Emotion: Theory, Research and Experience: Vol. 4, The Measurement of Emotions, New York: Academic.
11. R. Plutchik. 1980. Emotion: A Psychoevolutionary Synthesis, New York: Harper & Row.
12. M. Zentner, D. Grandjean and K. R. Scherer. 2008. Emotions evoked by the sound of music: Characterization, classification, and measurement. Emotion, 8, 4, pp. 494-521.
13. Y.-H. Yang and X. Hu. 2012. Cross-cultural music mood classification: A comparison of English and Chinese songs. In Proc. ISMIR.
14. Y.-H. Yang and H. H. Chen. 2011. Predicting the distribution of perceived emotions of a music signal for content retrieval. IEEE TASLP, 19, 7, pp. 2184-2196.
15. C. Bishop. 2006. Pattern Recognition and Machine Learning. Springer-Verlag New York, Inc.
16. J.-C. Wang, H.-S. Lee, H.-M. Wang and S.-K. Jeng. 2011. Learning the similarity of audio music in bag-of-frames representation from tagged music data. In Proc. ISMIR.
17. M. Hoffman, D. Blei and P. Cook. 2009. Easy as CBA: A simple probabilistic model for tagging music. In Proc. ISMIR, pp. 369-374.
18. J.-C. Wang, Y.-H. Yang, H.-M. Wang and S.-K. Jeng. 2012. The acoustic emotion Gaussians model for emotion-based music annotation and retrieval. In Proc. ACM Multimedia.
19. J. V. Davis and I. S. Dhillon. 2006. Differential entropic clustering of multivariate Gaussians. In Proc. NIPS.
20. R. Cowie, et al. 2001. Emotion recognition in human-computer interaction. Signal Processing Magazine, IEEE, 18, 1, pp. 32-80.
21. M. Bradley and P. J. Lang. 1999. Affective norms for English words ANEW: Instruction manual and affective ratings. Technical Report C-1. The Center for Research in Psychophysiology, University of Florida.
22. O. Lartillot and P. Toiviainen. 2007. A Matlab toolbox for musical feature extraction from audio. In Proc. DAFx.
23. J. Ellson, et al. 2001. Graphviz - Open source graph drawing tools. In Proc. Graph Drawing, pp. 483-484.
24. E. M. Schmidt and Y. E. Kim. 2010. Prediction of time-varying musical mood distributions from audio. In Proc. ISMIR, pp. 465-470.