Aided design of finite-state dialogue management systems

Due to recent progresses in the field of speech and natural language processing, spoken dialogue systems are becoming more and more common. Nevertheless, the design of complete dialogue systems remains uneasy. On the one hand, developing such a system involves defining a dialogue strategy. Though automatic learning of dialogue strategies has been introduced in several researches, it stays hard to use in practice. On the other hand, system design implies some coding skills and is still a job for specialists despite the emergence of the voiceXML language. In this paper, we describe a graphical interface dedicated to ease the development of dialogue systems. The user of the interface may be helped along his design thanks to automatically learned strategies.

[1]  Michael F. McTear,et al.  Modelling spoken dialogues with state transition diagrams: experiences with the CSLU toolkit , 1998, ICSLP.

[2]  Olivier Pietquin,et al.  ASR system modeling for automatic evaluation and optimization of dialogue systems , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[3]  Anoop K. Sinha,et al.  Suede: a Wizard of Oz prototyping tool for speech user interfaces , 2000, UIST '00.

[4]  Roberto Pieraccini,et al.  User modeling for spoken dialogue system evaluation , 1997, 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings.

[5]  Ronald A. Cole,et al.  Building 10,000 spoken dialogue systems , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

[6]  Roberto Pieraccini,et al.  A stochastic model of human-machine interaction for learning dialog strategies , 2000, IEEE Trans. Speech Audio Process..

[7]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.