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Emotion recognition from speech: A classroom experiment
dc.creator | Nikopoulou R., Spyrou E., Vernikos I., Mylonas P. | en |
dc.date.accessioned | 2023-01-31T09:40:20Z | |
dc.date.available | 2023-01-31T09:40:20Z | |
dc.date.issued | 2018 | |
dc.identifier | 10.1145/3197768.3197782 | |
dc.identifier.isbn | 9781450363907 | |
dc.identifier.uri | http://hdl.handle.net/11615/77224 | |
dc.description.abstract | 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). | en |
dc.language.iso | en | en |
dc.source | ACM International Conference Proceeding Series | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049896764&doi=10.1145%2f3197768.3197782&partnerID=40&md5=03d6f89ae7161a7eff2295cedc240760 | |
dc.subject | Learning systems | en |
dc.subject | Speech | en |
dc.subject | Students | en |
dc.subject | Bag-of-visual words | en |
dc.subject | Classroom | en |
dc.subject | Emotion recognition | en |
dc.subject | Emotion recognition from speech | en |
dc.subject | Learning process | en |
dc.subject | Middle school students | en |
dc.subject | Recognition of emotion | en |
dc.subject | Visual representations | en |
dc.subject | Speech recognition | en |
dc.subject | Association for Computing Machinery | en |
dc.title | Emotion recognition from speech: A classroom experiment | en |
dc.type | conferenceItem | en |
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