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Abstract
The paper presents a study on music mood categorization. First, a review of music mood models is presented. Then, the preparation of a set of music excerpts to be used in the experiments and music parametrization is described. Next, some listening tasks performed to obtain mood descriptors are introduced. Finally,the correlation between mood descriptors and features extracted from parameters is discussed. The paper concludes with some observations derived from the analysis performed.
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
International Journal of Computational Intelligence Studies
no. 2,
pages 4 - 25,
ISSN: 1755-4977 - Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Kostek B., Plewa M.: Parametrization and Correlation Analysis Applied to Music Mood Classification .// International Journal of Computational Intelligence Studies. -Vol. 2., nr. 1 (2013), s.4-25
- Verified by:
- Gdańsk University of Technology
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