MIRUtrecht Participation in MediaEval 2013: Emotion in Music Task
نویسندگان
چکیده
This working notes paper describes the system proposed by the MIRUtrecht team for static emotion recognition from audio (task Emotion in Music) in the MediaEval evaluation contest 2013. We approach the problem by proposing a scheme comprising data filtering, feature extraction, attribute selection and multivariate regression. The system is based on state-of-the art research in the field and achieved performance of (in terms of R, i.e. proportion of variance explained by the model) 0.64 for arousal and 0.36 for valence.
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