Cart (Loading....) | Create Account
Close category search window
 

Integrating emotion recognition into an adaptive spoken language dialogue system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Pittermann, J. ; Dept. of Inf. Technol., Ulm Univ. ; Pittermann, A.

In order to add adaptability and user-friendliness to human computer interfaces, the classification and recognition of a user's emotional state has evolved to a significant topic of interest within the research on natural spoken dialogue systems. In this article we pick up the idea of using hidden Markov models (HMMs) to recognize emotions from speech signals and we integrate these recognition results in adaptive dialogue management. At first we give an overlook on different characteristics of selected emotions with respect to the features extracted from the speech signal and we describe the emotion recognizer. Then we highlight our approaches to improve the quality of the recognizer models and we show how the recognizer's results are used to adapt a dialogue system's behavior to the user's emotional state

Published in:

Intelligent Environments, 2006. IE 06. 2nd IET International Conference on  (Volume:1 )

Date of Conference:

5-6 July 2006

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.