Evaluation of a Dialogue System Based on a Generic Model that Combines Robust Speech Understanding and Mixed-initiative Control

Abstract

This paper presents a generic model to combine robust speech understanding and mixed-initiative dialogue control in spoken dialogue systems. It relies on the use of semantic frames to conceptually store user interactions, a frame-unification procedure to deal with partial information, and a stack structure to handle initiative control. This model has been successfully applied in a dialogue system being developed at our lab, named SAPLEN, which aims to deal with the telephone-based product orders and queries of fast food restaurants’ clients. In this paper we present the dialogue system and describe the new model, together with the results of a preliminary evaluation of the system concerning recognition time, word accuracy, implicit recovery and speech understanding. Finally, we present the conclusions and indicate possibilities for future work.

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