Detecting emotion in speech
Jackson Liscombe · 2006
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.