Abstract
In the context of affective computing, a significant trend in multi modal human-computer interaction is focused to determine emotional status of the users. For a constructive and natural human-computer interaction, the computers should be able to adapt to the user’s emotional state and respond appropriately. This work proposes few simple and robust features in the framework of determining emotions from speech. Our approach is suitable for voice based applications, such as call centers or interactive voice systems, which are dependent on telephone conversations. For a typical call center application, it is crucial to recognize and classify agitation (anger, happiness, fear, and disgust) and calm (neutral, sadness, and boredom) callers, for the systems to respond appropriately. For instance, in a typical voice based application, the system should be able to either apologize or appreciate the problem of the caller suitably, if necessary by directing the call to the supervisor concerned.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Petrushin, V.: Emotion in speech: recognition and application to call centers. In: Proceedings of Artificial Neural Networks in Engineering (1999)
Scherer, K.R., Johnstone, T., Klasmeyer, G.: Vocal expression of emotion. In: Handbook of Affective Sciences, pp. 433–456. Oxford University Press, Oxford (2003)
Burkhardt, F., et al.: A database of German emotional speech. In: Proceedings of Interspeech (2005)
Murray, I.R., Arnott, J.L.: Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion. The Journal of the Acoustical Society of America 93(2), 1097–1108 (1993)
Scherer, S., Schwenker, F., Palm, G.: Classifier fusion for emotion recognition from speech. In: Proc. of IE 2007 (to be published, 2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Maganti, H.K., Scherer, S., Palm, G. (2007). A Novel Feature for Emotion Recognition in Voice Based Applications. In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2007. Lecture Notes in Computer Science, vol 4738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74889-2_62
Download citation
DOI: https://doi.org/10.1007/978-3-540-74889-2_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74888-5
Online ISBN: 978-3-540-74889-2
eBook Packages: Computer ScienceComputer Science (R0)