EmoReSp: an online emotion recognizer based on speech

Authors:
Iulia Lefter;Pascal Wiggers;Leon J. M. Rothkrantz
Affiliations:
Delft University of Technology and Netherlands Defense Academy;Delft University of Technology;Delft University of Technology and Netherlands Defense Academy
Venue:
Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
Year:
2010

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Abstract

The paper describes the development of an online real-time system able to recognize emotions from speech. A prosodic feature set was extracted from four databases of emotional speech (three with acted emotions and one with spontaneous ones). Two models were trained using support vector machines (SVM) or merged databases, for the purpose of providing a larger range of examples to the classifier and making it more general. The system outputs probabilities of a closed set of emotions and provides a time track of the emotions recognized in the valence and arousal continuum.