Detecting real life anger

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.

• Type: Conference
• Year: 2009
• Where: ICASSP
• Authors: Felix Burkhardt, Tim Polzehl, Joachim Stegmann, Florian Metze, Richard Huber
• Keywords: Acoustic Anger Detection, ICASSP 2009, Signal Processing, Voice Portal, Voice Portal Data