Detecting anger in automated voice portal dialogs

F. Burkhardt, J. Ajmera, R. Englert, J. Stegmann, W. Burleson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
Pages1053-1056
Number of pages4
StatePublished - Dec 1 2006
EventINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP - Pittsburgh, PA, United States
Duration: Sep 17 2006Sep 21 2006

Publication series

NameProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume2
ISSN (Electronic)1990-9772

Other

OtherINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
CountryUnited States
CityPittsburgh, PA
Period9/17/069/21/06

Keywords

  • Dialogue system
  • Emotion recognition
  • Speech classification
  • Voice portal

ASJC Scopus subject areas

  • Computer Science(all)

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    Burkhardt, F., Ajmera, J., Englert, R., Stegmann, J., & Burleson, W. (2006). Detecting anger in automated voice portal dialogs. In INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP (pp. 1053-1056). (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; Vol. 2).