SPONTANEOUS EMOTION RECOGNITION FROM SPEECH SIGNAL USING MULTIMODAL CLASSIFICATION
Journal Title: Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska - Year 2012, Vol 2, Issue 3
Abstract
The article presents the issue of emotion recognition from a speech signal. For this study, a Polish spontaneous database, containing speech from people of different age and gender, was created. Features were determined from the speech signal. The process of recognition was based on multimodal classification, related to kNN algorithm. The average of accuracy performance was up to 83%.
Authors and Affiliations
Dorota Kamińska, Adam Pelikant
Keywords
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