Abstract
This paper proposes a new dialogue control method with “presuppositional responses” to realize a large number of target words towards an efficient spoken dialogue interface. This strategy comes from human characteristics in that people tend to presuppose the utterance to be familiar or frequently-spoken. The strategy is verified through huge data of human recognition of 160, 000 sir names. We introduce heuristics to determine what words are to be presuppositional; presuppositional words should cover as many frequently-used ones as possible, while they should be small for high-accurate speech recognition. We report a successful implementation of a dialogue interface using a conventional speech recognition device. We resolve the situations when speech recognition fails or when the corrent answer is not included in presuppositional words in order not to irritate the user with unnecessary or detoured questions. Realtime and natural responses are attained through parallel search of non-frequent words as well as presuppositional ones.
