SPONTANEOUS EMOTION RECOGNITION FROM SPEECH SIGNAL USING MULTIMODAL CLASSIFICATION

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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  • EP ID EP59348
  • DOI -
  • Views 153
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How To Cite

Dorota Kamińska, Adam Pelikant (2012). SPONTANEOUS EMOTION RECOGNITION FROM SPEECH SIGNAL USING MULTIMODAL CLASSIFICATION . Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska, 2(3), 36-39. https://europub.co.uk/articles/-A-59348