Automatic speech based emotion recognition using paralinguistics features

Affective computing studies and develops systems capable of detecting humans affects. The search for universal well-performing features for speech-based emotion recognition is ongoing. In this paper, a small set of features with support vector machines as the classifier is evaluated on Surrey Audio-...

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Bibliographic Details
Main Authors: J. Hook, F. Noroozi, O. Toygar, G. Anbarjafari
Format: Article
Language:English
Published: Polish Academy of Sciences 2019-06-01
Series:Bulletin of the Polish Academy of Sciences: Technical Sciences
Subjects:
Online Access:https://journals.pan.pl/Content/113161/PDF/05_479-488_00827_Bpast.No.67-3_06.02.20.pdf