Using Knowledge about Misunderstandings to Increase the Robustness of Spoken Dialogue Systems View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

Ramón López-Cózar , Zoraida Callejas , Nieves Ábalos , Gonzalo Espejo , David Griol

ABSTRACT

This paper proposes a new technique to enhance the performance of spoken dialogue systems employing a method that automatically corrects semantic frames which are incorrectly generated by the semantic analyser of these systems. Experiments have been carried out using two spoken dialogue systems previously developed in our lab: Saplen and Viajero, which employ prompt-dependent and prompt-independent language models for speech recognition. The results obtained from 10,000 simulated dialogues show that the technique improves the performance of the two systems for both kinds of language modelling, especially for the prompt-independent language model. Using this type of model the Saplen system increased sentence understanding by 19.54%, task completion by 26.25%, word accuracy by 7.53%, and implicit recovery of speech recognition errors by 20.30%, whereas for the Viajero system these figures increased by 14.93%, 18.06%, 6.98% and 15.63%, respectively. More... »

PAGES

523-530

Book

TITLE

Text, Speech and Dialogue

ISBN

978-3-642-15759-2
978-3-642-15760-8

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-15760-8_66

DOI

http://dx.doi.org/10.1007/978-3-642-15760-8_66

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050869450


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