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EmoVoice - A Framework for Online Recognition of Emotions from Voice

Thurid Vogt, Elisabeth André and Nikolaus Bee

erschienen 2008 "Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems", PIT '08, Pages 188 - 199

Verlag: Springer


ISBN: 978-3-540-69368-0 DOI: DOI.org


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.


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