13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

Optimization of Dialog Strategies using Automatic Dialog Simulation and Statistical Dialog Management Techniques

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

(1) Dept. of Computer Science, Carlos III University of Madrid, Spain
(2) Dept. of Languages and Computer Systems, University of Granada, Spain

In this paper, we present a technique for learning optimal dialog management strategies. An automatic dialog generation technique, including a simulation of the communication channel, has been developed to acquire the required data, train dialog models, and explore new dialog strategies in order to learn the optimal one. A set of quantitative and qualitative measures has been defined to evaluate the quality of the strategies learned. We provide empirical evidence of the benefits of our proposal through its application to explore the space of possible dialog strategies for the UAH spoken dialog system.

Index Terms: Dialog Strategy, User Simulation, Dialog Management, Statistical Methodologies, Spoken Dialog Systems

Full Paper

Bibliographic reference.  Griol, David / Callejas, Zoraida / López-Cózar, Ramón (2012): "Optimization of dialog strategies using automatic dialog simulation and statistical dialog management techniques", In INTERSPEECH-2012, 218-221.