What does music mood mean for real users?

ACM International Conference Proceeding Series

Volumn , Issue , 2012, Pages 112-119

  Lee, Jin Ha ^a   Hill, Trent ^a   Work, Lauren ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

emotion; mechanical turk; mood; music; music information retrieval; tagging; user

Indexed keywords

EMOTION; MECHANICAL TURKS; MOOD; MUSIC; MUSIC INFORMATION RETRIEVAL; TAGGING; USER;

COMPUTER APPLICATIONS;

EID: 84863283174     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2132176.2132191     Document Type: Conference Paper

References (29)

1. Barrington, L., Turnbull, D., O'Malley, and Lanckriet, G. 2009. User-centered Design of a Social Game to Tag Music. ACM KDD (Knowledge Discovery and Data Mining) Workshop on Human Computation.
2. Bigand, E. 2005. Multidimensional Scaling of Emotional Responses to Music: The Effect of Musical Expertise and of the Duration of the Excerpts. Cognition and Emotion, 19, 8, 1113-1139. (Pubitemid 43123498)
3. Bischoff, K., Firan, C. S., Nejdl, W., and Paiu, R. 2009. How Do You Feel About "Dancing Queen"?: Deriving Mood &Theme Annotations From User Tags. Proceedings of the JCDL (Joint Conference on Digital Libraries), 285-294.
4. Bischoff, K., Firan, C. S., Paiu, R., Dejdl, W., Laurier, C., and Sordo, M. Music Mood and Theme Classification: A Hybrid Approach. Proceedings of the 10th ISMIR (International Society for Music Information Retrieval) conference, 657-662.
5. Dan, Y. and Lee, W. 2009. Music Emotion Identification from Lyrics. 2009 11th IEEE International Symposium on Multimedia, 624-629.
6. Eerola, T, Lartillot, O., and Toivianen, P. 2009. Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models. Proceedings of the 10th ISMIR (International Society for Music Information Retrieval) conference,621-626.
7. Hevner, K. 1936. Experimental Studies of the Elements of Expression in Music. American Journal of Psychology, 48, 2, 246-268.
8. Hu, X. 2010. Music and Mood: Where Theory and Reality Meet. Proceedings of iConference.
9. Hu, X., and Downie, J. S. 2007. Exploring Mood Metadata: Relationships with Genre, Artist, and Usage Metadata. Proceedings of the 8th ISMIR (International Society for Music Information Retrieval) conference, 67-72.
10. Hu, Y., Chen, X., and Yang, D. 2009. Lyric-based Song Emotion Detection with Affective Lexicon and Fuzzy Clustering Method. Proceedings of the 10th ISMIR (International Society for Music Information Retrieval) conference, 123-128.
11. Juslin, P. N. and Vastfjall, D. 2008. Emotional Responses to Music: The Need to Consider Underlying Mechanisms. Behavioral & Brain Sciences, 31, 559-621.
12. Kim, Y., Schmidt, E., and Emelle, L. 2008. Moodswings: A Collaborative Game for Music Mood Label Collection. Proceedings of the 9th ISMIR (International Society for Music Information Retrieval) conference, 231-236.
13. Kim, Y., Schmidt, E., Migneco, R., Morton, B. G., Richardson, P., Scott, J., Speck, J. A. and Turnbull, D. 2010. Music Emotion Recognition: A State of the Art Review. Proceedings of the 11th ISMIR (International Society for Music Information Retrieval) conference, 255-266.
14. Laurier, C., Sordo, M., Serra, J., and Herrera, P. 2009. Music Mood Representations from Social Tags. Proceedings of the 10th ISMIR (International Society for Music Information Retrieval) conference, 381-386.
15. Law, E. L. M., Von Ahn, L, Dannenberg, R. B., and Crawford, M. 2007. TagATune: A Game for Music and Sound Annotation. Proceedings of the 8th ISMIR (International Society for Music Information Retrieval) conference, 361-364.
16. Lee, J. H. 2010. Crowdsourcing Music Similarity Judgments Using Mechanical Turk. Proceedings of the 11th ISMIR (International Society for Music Information Retrieval) conference, 183-188.
17. Levy, M. and Sandler, M. 2007. A Semantic Space for Music Derived From Social Tags. Proceedings of the 8th ISMIR (International Society for Music Information Retrieval) conference, 411-416.
18. Lu, L., Liu, D., and Zhang, H. 2006. Automatic Mood Detection and Tracking of Music Audio Signals. IEEE Transactions on Audio, Speech, and Language Processing, 14, 1, 5-18.
19. Mandel, M., Eck, D, and Bengio, Y. 2010. Learning Tags That Vary Within a Song. Proceedings of the 11th ISMIR (International Society for Music Information Retrieval) conference, 399-404.
20. Mandel, M. I., and Ellis, D. P. W. 2007. A Web-based game for collecting music metadata. Proceedings of the 8th ISMIR (International Society for Music Information Retrieval) conference, 365-366.
21. Meharabian, A. and Russell, J. A. 1974. An Approach to Environmental Psychology. MIT Press.
22. Meyer, L. 1956. Emotion and Meaning in Music. University of Chicago Press, Chicago.
23. Mion, L., and Poli, G. D. 2008. Score-independent Audio Features for Description of Music Expression. IEEE Transactions on Audio, Speech and Language Processing, 16, 2, 458-466.
24. Russell, J. 1980. A Circumplex Model of Affect. Journal of Personality and Social Psychology, 39, 1161-1178.
25. Thayer, R. E. 1989. The Biopsychology of Mood and Arousal. Oxford University Press.
26. Turnbull, D., Liu, R., Barrington, L. and Lanckriet, G. 2007. A Game-based Approach for Collecting Semantic Annotations of Music. Proceedings of the 8th ISMIR (International Society for Music Information Retrieval) conference, 535-538.
27. Urbano, J. Morato, J., Marrero, M., and Martin, D. 2010. Crowdsourcing preference judgments for evaluation of music similarity tasks. Proceedings of the SIGIR 2010 Workshop on Crowdsourcing for Search Evaluation, 9-16.
28. Wedin, L. 1972. A Multidimensional Study of Perceptual- Emotional Qualities in Music. Scandinavian Journal of Psychology, 13, 241-257.
29. Xia, Y., Wang, L., Wong, K., and Xu, M. 2008. Sentiment Vector Space Model for Lyric-based Songs Sentiment Classification. Proceedings of the Association for Computational Linguistics. Columbus, Ohio. 133-136.