Improving music emotion labeling using human computation

Workshop Proceedings - Human Computation Workshop 2010, HCOMP2010

Volumn , Issue , 2010, Pages 45-48

  Morton, Brandon G ^a   Speck, Jacquelin A ^a   Schmidt, Erik M ^a   Kim, Youngmoo E ^a  

^a Drexel University   (United States)

Author keywords

Arousal; Emotion; Human computation; Mood labels; Mood prediction; Moodswings; Music; Valence

Indexed keywords

AROUSAL; EMOTION; HUMAN COMPUTATION; MOOD LABELS; MOOD PREDICTION; MOODSWINGS; MUSIC; VALENCE;

ELECTRONIC MUSICAL INSTRUMENTS;

EID: 77956245797     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1837885.1837899     Document Type: Conference Paper

References (10)

1. L. von Ahn, "Games with a purpose," IEEE Computer, vol. 39, no. 6, pp. 92-94, 2006.
2. Y. Kim, E. Schmidt, and L. Emelle, "MoodSwings: A Collaborative Game for Music Mood Label Collection," in Proceedings of the 9th International Conference for Music Information Retrieval Conference, 2008, pp. 231-236.
3. R. E. Thayer, The Biopsychology of Mood and Arousal. Oxford, U.K.: Oxford Univ. Press, 1989.
4. M. Mandel and D. Ellis, "A Web-Based Game for Collecting Music Metadata," in Proceeindgs of the 8th International Conference on Music Information Retrieval, Vienna, Austria, 2007, pp. 365-366.
5. D. Turnbull, R. Liu, L. Barrington, and G. Lanckriet, "A Game-Based Approach for Collecting Semantic Annotations of Music," in Proceedings of the 8th International Conference on Music Information Retrieval, Vienna, Austria, 2007, pp. 535-538.
6. E. Law and L. von Ahn, "Input-agreement: a new mechanism for collecting data using human computation games," in Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009.
7. L. Barrington, D. Turnbull, D. O'Malley, and G. Lanckriet, "User-Centered Design of a Social Game to Tag Music," in ACM KDD Workshop on Human Computation, 2009.
8. A. Berenzweig, B. Logan, D. P. Ellis, and B. Whitman, "A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures," Computer Musical Journal, vol. 28, no. 2, pp. 63-76, 2004.
9. J. Bachorik, M. Bangert, P. Loui, K. Larke, J. Berger, R. Rowe, and G. Schlaug, "Emotion in Motion: Investigating the Time-Course of Emotional Judgments of Musical Stimuli," Music Perception, vol. 26, no. 4, pp. 355-364, 2009.
10. E. Schmidt, D. Turnbull, and Y. Kim, "Feature Selection for Content-Based, Time-Varying Musical Emotion Regression," in Proc. ACM SIGMM Intl. Conf. on Multimedia Information Retrieval, 2010.