Probabilistic, Multi-staged Interpretation of Spoken Utterances

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International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)

Sydney Australia

November 28-December 01

ISBN: 0-7695-2731-0

	ASCII Text	x
	Ingrid Zukerman, Michael Niemann, Sarah George, "Probabilistic, Multi-staged Interpretation of Spoken Utterances," Computational Intelligence for Modelling, Control and Automation, International Conference on, pp. 194, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006.

	BibTex	x
	@article{ 10.1109/CIMCA.2006.165, author = {Ingrid Zukerman and Michael Niemann and Sarah George}, title = {Probabilistic, Multi-staged Interpretation of Spoken Utterances}, journal ={Computational Intelligence for Modelling, Control and Automation, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2731-0}, pages = {194}, doi = {http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.165}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computational Intelligence for Modelling, Control and Automation, International Conference on TI - Probabilistic, Multi-staged Interpretation of Spoken Utterances SN - 0-7695-2731-0 SP EP A1 - Ingrid Zukerman, A1 - Michael Niemann, A1 - Sarah George, PY - 2006 KW - null VL - 0 JA - Computational Intelligence for Modelling, Control and Automation, International Conference on ER -

Ingrid Zukerman, Monash University

Michael Niemann, Monash University

Sarah George, Monash University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.165

We describe Scusi?, a multi-stage, spoken language interpretation mechanism designed to be part of a robotmounted 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. We show how the features of our interpretation process yield desirable behaviours that support robust and flexible system performance.

Citation:

Ingrid Zukerman, Michael Niemann, Sarah George, "Probabilistic, Multi-staged Interpretation of Spoken Utterances," cimca, pp.194, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006

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