Detecting real life anger

Authors:
Felix Burkhardt;Tim Polzehl;Joachim Stegmann;Florian Metze;Richard Huber
Affiliations:
Deutsche Telekom Laboratories, Germany;Technische Universität Berlin, Germany;Deutsche Telekom Laboratories, Germany;Technische Universität Berlin, Germany;Sympalog Voice Solutions, Erlangen, Germany
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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Abstract

Acoustic anger detection in voice portals can help to enhance human computer interaction. A comprehensive voice portal data collection has been carried out and gives new insight on the nature of real life data. Manual labeling revealed a high percentage of non-classifiable data. Experiments with a statistical classifier indicate that, in contrast to pitch and energy related features, duration measures do not play an important role for this data while cepstral information does. Also in a direct comparison between Gaussian Mixture Models and Support Vector Machines the latter gave better results.