Using Circular Models to Improve Music Emotion Recognition

IEEE Transactions on Affective Computing(2021)

Cited 6|Views31
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Abstract
The two commonly accepted models of affect used in affective computing are categorical and two-dimensional. However, categorical models are limited to datasets that only contain music for which human annotators fully agree upon, while two-dimensional models use descriptors to which users may not relate to (e.g., Valence and Arousal). This paper explores the hypothesis that the music emotion proble...
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Key words
Mood,Emotion recognition,Computational modeling,Task analysis,Music,Predictive models
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