A rational agent as the kernel of a cooperative spoken dialogue system: Implementing a logical theory of interaction

Author(s):  
Philippe Bretier ◽  
David Sadek

2014 ◽  
Author(s):  
Raveesh Meena ◽  
Johan Boye ◽  
Gabriel Skantze ◽  
Joakim Gustafson


2006 ◽  
Vol 32 (3) ◽  
pp. 417-438 ◽  
Author(s):  
Diane Litman ◽  
Julia Hirschberg ◽  
Marc Swerts

This article focuses on the analysis and prediction of corrections, defined as turns where a user tries to correct a prior error made by a spoken dialogue system. We describe our labeling procedure of various corrections types and statistical analyses of their features in a corpus collected from a train information spoken dialogue system. We then present results of machine-learning experiments designed to identify user corrections of speech recognition errors. We investigate the predictive power of features automatically computable from the prosody of the turn, the speech recognition process, experimental conditions, and the dialogue history. Our best-performing features reduce classification error from baselines of 25.70–28.99% to 15.72%.



Author(s):  
Antoine Raux ◽  
Dan Bohus ◽  
Brian Langner ◽  
Alan W. Black ◽  
Maxine Eskenazi


2004 ◽  
Author(s):  
Tatsunori Asai ◽  
Shigeki Miyabe ◽  
Hiroshi Saruwatari ◽  
Kiyohiro Shikano


2009 ◽  
Author(s):  
Jonas Beskow ◽  
Jens Edlund ◽  
Björn Granström ◽  
Joakim Gustafson ◽  
Gabriel Skantze ◽  
...  


Author(s):  
Heather Pon-Barry ◽  
Fuliang Weng ◽  
Sebastian Varges






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