Emotion recognition from speech: A classroom experiment
Ημερομηνία
2018Γλώσσα
en
Λέξη-κλειδί
Επιτομή
In this position paper we present an approach for the recognition of emotions from speech. Our goal is to understand the affective state of learners upon a learning process. We propose an approach that uses visual representations of the spectrum of audio segments, which are classified using the Bag-of-Visual Words model. Our approach is applied on a real-life dataset that contains interviews from middle-school students, collected upon a classroom experiment. © 2018 Copyright held by the owner/author(s).
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