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Detecting Emotion in Speech: Experiments in Three Domains

Liscombe, Jackson

The goal of my proposed dissertation work is to help answer two fundamental questions: (1) How is emotion communicated in speech? and (2) Does emotion modeling improve spoken dialogue applications? In this paper I describe feature extraction and emotion classification experiments I have conducted and plan to conduct on three different domains: EPSaT, HMIHY, and ITSpoke. In addition, I plan to implement emotion modeling capabilities into ITSpoke and evaluate the effectiveness of doing so.

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More About This Work

Academic Units
Computer Science
Publisher
HLT Doctoral Consortium
Published Here
July 5, 2013