EmoVoice -- A Framework for Online Recognition of Emotions from Voice

Authors:
Thurid Vogt;Elisabeth André;Nikolaus Bee
Affiliations:
Multimedia Concepts and their Applications, University of Augsburg, Germany;Multimedia Concepts and their Applications, University of Augsburg, Germany;Multimedia Concepts and their Applications, University of Augsburg, Germany
Venue:
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
Year:
2008

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Abstract

We present EmoVoice, a framework for emotional speech corpus and classifier creation and for offline as well as real-time online speech emotion recognition. The framework is intended to be used by non-experts and therefore comes with an interface to create an own personal or application specific emotion recogniser. Furthermore, we describe some applications and prototypes that already use our framework to track online emotional user states from voice information.