Towards automatic emotional state categorization from speech signals
Arslan Shaukat and Ke Chen
In: InterSpeech 2008, 22-26 September 2008, Brisbane, Australia.

Abstract

This paper investigates the performance of automatic emotional state categorization from speech signals on the Serbian Emotional Speech Corpus, named GEES, against the corresponding human performance. We employ a multistage strategy along with sophisticated features used for automatic emotional state categorization. Our study is the first attempt to apply a machine learning technique to the GEES where the human performance was only available prior to our study. Our investigation indicates that the use of a multistage categorization strategy yields behaviors similar to what human perceives and the performance close to human being’s.

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