Hypothesis generation and maintenance in the interpretation of spoken utterances

Authors:
M. Niemann;I. Zukerman;E. Makalic;S. George
Affiliations:
Faculty of Information Technology, Monash University, Clayton, Victoria, Australia;Faculty of Information Technology, Monash University, Clayton, Victoria, Australia;Faculty of Information Technology, Monash University, Clayton, Victoria, Australia;Faculty of Information Technology, Monash University, Clayton, Victoria, Australia
Venue:
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Year:
2007

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Abstract

The DORIS project (Dialogue Oriented Roaming Interactive System) aims to develop a spoken dialogue module for an autonomous robotic agent. This paper examines the techniques used by Scusi?, the speech interpretation component of DORIS, to postulate and assess hypotheses regarding the meaning of a spoken utterance. The results of our evaluation are encouraging, yielding good interpretation performance for utterances of different types and lengths.