11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

New Technique to Enhance the Performance of Spoken Dialogue Systems Based on Dialogue States-Dependent Language Models and Grammatical Rules

Ramón López-Cózar (1), David Griol (2)

(1) Universidad de Granada, Spain
(2) Universidad Carlos III de Madrid, Spain

This paper proposes a new technique to enhance the performance of spoken dialogue systems which presents one novel contribution: the automatic correction of some ASR errors by using language models dependent on dialogue states, in conjunction with grammatical rules. These models are optimally selected by computing similarity scores between patterns obtained from uttered sentences and patterns learnt during training. Experimental results with a spoken dialogue system designed for the fast food domain show that our technique allows enhancing word accuracy, speech understanding and task completion rates of a spoken dialogue system by 8.5%, 16.54% and 44.17% absolute, respectively.

Full Paper

Bibliographic reference.  López-Cózar, Ramón / Griol, David (2010): "New technique to enhance the performance of spoken dialogue systems based on dialogue states-dependent language models and grammatical rules", In INTERSPEECH-2010, 2998-3001.