@inproceedings{01ae39f7d505403f9264119dfc7f37f6,
title = "Detecting anger in automated voice portal dialogs",
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.",
keywords = "Dialogue system, Emotion recognition, Speech classification, Voice portal",
author = "F. Burkhardt and J. Ajmera and R. Englert and J. Stegmann and W. Burleson",
year = "2006",
language = "English (US)",
isbn = "9781604234497",
series = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",
pages = "1053--1056",
booktitle = "INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP",
note = "INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP ; Conference date: 17-09-2006 Through 21-09-2006",
}