A spoken dialog system based on automatically-generated example database

There have been proposed spoken dialog systems that utilizes simple database consisted of example sentences and the corresponding reply sentences. However, it is costly to prepare this database manually. In the present study, we propose a framework in which both the example and reply sentences are automatically generated from a database description table that describes minimum information for describing a task. Experimental results indicated that the system using the generated database performed as well as one using manually prepared database. Besides, performance of the system was further improved by the language model adaptation for the generated example sentences.