9th Annual Conference of the International Speech Communication Association

Brisbane, Australia
September 22-26, 2008

Towards Automatic Emotional State Categorization from Speech Signals

Arslan Shaukat, Ke Chen

University of Manchester, UK

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.

Full Paper

Bibliographic reference.  Shaukat, Arslan / Chen, Ke (2008): "Towards automatic emotional state categorization from speech signals", In INTERSPEECH-2008, 2771-2774.