Ninth International Conference on Spoken Language Processing

Pittsburgh, PA, USA
September 17-21, 2006

Detecting Anger in Automated Voice Portal Dialogs

F. Burkhardt (1), J. Ajmera (2), Roman Englert (2), J. Stegmann (1), W. Burleson (2)

(1) T-Systems Enterprise Services GmbH, Germany; (2) Technische Universitšt Berlin, Germany

Anger detection is a topic that is gaining more and more attention with voice portal carriers, as it can be useful for quality measurement and emotion-aware dialog strategies. In the context of a prototype voice portal we describe methods to search for training data, report on the performance of the prosodic classifier under real world conditions and explore the use of dialog information for anger prediction. The results show that, although significantly worse than under laboratory conditions, anger detection still works well above chance level and can be used to enhance real world voice-portal usability.

Full Paper

Bibliographic reference.  Burkhardt, F. / Ajmera, J. / Englert, Roman / Stegmann, J. / Burleson, W. (2006): "Detecting anger in automated voice portal dialogs", In INTERSPEECH-2006, paper 1977-Tue2A3O.3.