Building a System for Emotions Detection from Speech to Control an Affective Avatar
نویسندگان
چکیده
In this paper we describe a corpus set together from two sub/corpora. The CINEMO corpus contains acted emotional expression obtained by playing of dubbing exercises. This new protocol is a way to collect mood-induced data in large amount which show several complex and shaded emotions. JEMO is a corpus collected with an emotion-detection game and contains more prototypical emotions than CINEMO. We show how the two sub/corpora balance and enrich each other and result in a better performance. We built male and female emotion models for improving emotion detection performances. After feature/selection we obtain good results even with our strict speaker independent testing method.
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