13th Annual SIGdial Meeting on Discourse and Dialogue, 2012
Department of Computer Science, University of Texas at El Paso
Abstract: Models of dialog state are important, both scientifically and practically, but today's best build strongly on tradition. This paper presents a new way to identify the important dimensions of dialog state, more bottom-up and empirical than previous approaches. Specifically, we applied Principal Component Analysis to a large number of low-level prosodic features to find the most important dimensions of variation. The top 20 out of 76 dimensions accounted for 81% of the variance, and each of these dimensions clearly related to dialog states and activities, including turn taking, topic structure, grounding, empathy, cognitive processes, attitude and rhetorical structure.
video of presentation
materials for the extended talk at the 8th Speech Synthesis Workshop, 2013: slides and handout
Nigel Ward's Publications