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Emotion recognition from speech: A classroom experiment

dc.creatorNikopoulou R., Spyrou E., Vernikos I., Mylonas P.en
dc.date.accessioned2023-01-31T09:40:20Z
dc.date.available2023-01-31T09:40:20Z
dc.date.issued2018
dc.identifier10.1145/3197768.3197782
dc.identifier.isbn9781450363907
dc.identifier.urihttp://hdl.handle.net/11615/77224
dc.description.abstractIn 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.isoenen
dc.sourceACM International Conference Proceeding Seriesen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85049896764&doi=10.1145%2f3197768.3197782&partnerID=40&md5=03d6f89ae7161a7eff2295cedc240760
dc.subjectLearning systemsen
dc.subjectSpeechen
dc.subjectStudentsen
dc.subjectBag-of-visual wordsen
dc.subjectClassroomen
dc.subjectEmotion recognitionen
dc.subjectEmotion recognition from speechen
dc.subjectLearning processen
dc.subjectMiddle school studentsen
dc.subjectRecognition of emotionen
dc.subjectVisual representationsen
dc.subjectSpeech recognitionen
dc.subjectAssociation for Computing Machineryen
dc.titleEmotion recognition from speech: A classroom experimenten
dc.typeconferenceItemen


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