Spoken Dialogue System for Quer Using Hierarchical Confir
نویسندگان
چکیده
We address a dialogue framework for queries on manuals of electric appliances with a speech interface. Users can make queries by unconstrained speech, from which keywords are extracted and matched to the items in the manual. As a result, so many items are usually obtained. Thus, we introduce an effective dialogue strategy which narrows down the items using a tree structure extracted from the manual. Three cost functions are presented and compared to minimize the number of dialogue turns. We have evaluated the system performance on VTR manual query task. The number of average dialogue turns is reduced to 71% using our strategy compared with a conventional method that makes confirmation in turn according to the matching likelihood. Thus, the proposed system helps users find their intended items more efficiently.
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تاریخ انتشار 2003