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A multi-genre model for music emotion recognition using linear regressors.
- Source :
- Journal of New Music Research; Aug2021, Vol. 50 Issue 4, p355-372, 18p
- Publication Year :
- 2021
-
Abstract
- Making the link between human emotion and music is challenging. Our aim was to produce an efficient system that emotionally rates songs from multiple genres. To achieve this, we employed a series of online self-report studies, utilising Russell's circumplex model. The first study (n = 44) identified audio features that map to arousal and valence for 20 songs. From this, we constructed a set of linear regressors. The second study (n = 158) measured the efficacy of our system, utilising 40 new songs to create a ground truth. Results show our approach may be effective at emotionally rating music, particularly in the prediction of valence. [ABSTRACT FROM AUTHOR]
- Subjects :
- EMOTIONS
SELF-evaluation
EMOTION recognition
SONGS
Subjects
Details
- Language :
- English
- ISSN :
- 09298215
- Volume :
- 50
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of New Music Research
- Publication Type :
- Academic Journal
- Accession number :
- 153951337
- Full Text :
- https://doi.org/10.1080/09298215.2021.1977336