Paper: Detecting Emotion In Speech: Experiments In Three Domains

ACL ID N06-3006
Title Detecting Emotion In Speech: Experiments In Three Domains
Venue Human Language Technologies
Session Doctoral Consortium
Year 2006
Authors

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 spo- ken dialogue applications? In this paper I de- scribe feature extraction and emotion classi - cation 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 do- ing so.