Probabilistic, multi-staged interpretation of spoken utterances

Authors:
Ingrid Zukerman;Michael Niemann;Sarah George;Yuval Marom
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'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Year:
2006

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Abstract

We describe Scusi?, a multi-stage, spoken language interpretation mechanism designed to be part of a robot-mounted dialogue system. Scusi?'s interpretation process maps spoken utterances to conceptual graphs, and the nodes in these graphs to concepts in the world. Maximum posterior probability is used to rank the (partial) interpretations produced at each stage of this process.