A spoken dialog system based on automatic grammar generation and template-based weighting for autonomous mobile robots

Abstract

We have been developing a spoken dialog system. Conventional spoken dialog systems need grammar descriptions and scripts of a dialog, that are difficult to develop. The system proposed in this paper is based on semantic frames, and the system generates the recognition grammar from the frames automatically. As the system requires only a frame-based description for a task of dialog, the system can be easily applied to different kinds of tasks. Moreover, the recognition accuracy is improved by sentence weighting based on phrase class template. We evaluated the system by experiments. The system reached the goal with 2.44 user’s utterances in average.