Empirical analysis of multi-labeling algorithms for music emotion annotation

Ja Hwung Su, Yi Cheng Tsai, S. Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Music is highly related to human affective feelings with different kinds of emotions may be embedded in a music work simultaneously. Hence, how to extract emotions from music has been a hot topic for music information retrieval over the past few decades. To this end, a considerable number of multi-labeling studies have been conducted on tagging music emotions. In this paper, we conduct a comparative analysis of state-of-the-art methods for music emotion annotation through extensive experimental evaluations. Comparative experiments were performed on real dataset CAL500 with different evaluation metrics. Moreover, to reveal the robustness, the compared algorithms including different domains of annotation ones were examined with simple and complex types of emotions. The experimental results provide the researchers with insightful ideas in algorithm design for emotionalizing music from technical point of view.

Original languageEnglish
Title of host publicationElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
DOIs
StatePublished - 29 Nov 2013
Event2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 - San Jose, CA, United States
Duration: 15 Jul 201319 Jul 2013

Publication series

NameElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013

Conference

Conference2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
CountryUnited States
CitySan Jose, CA
Period15/07/1319/07/13

Keywords

  • annotation
  • empirical analysis
  • multi-labeling
  • Music emotion
  • tagging

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    Su, J. H., Tsai, Y. C., & Tseng, S. (2013). Empirical analysis of multi-labeling algorithms for music emotion annotation. In Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 [6618344] (Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013). https://doi.org/10.1109/ICMEW.2013.6618344