Example-Based Query Generation for Spontaneous Speech

Hiroya MURAO  Nobuo KAWAGUCHI  Shigeki MATSUBARA  Yasuyoshi INAGAKI  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E88-D   No.2   pp.324-329
Publication Date: 2005/02/01
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
Keyword: 
spoken dialogue,  query generation,  example-based,  

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Summary: 
This paper proposes a new method of example-based query generation for spontaneous speech. Along with modeling the information flows of human dialogues, the authors have designed a system that allows users to retrieve information while driving a car. The system refers to the dialogue corpus to find an example that is similar to input speech, and it generates a query from the example. The experimental results for the prototype system show that 1) for transcribed text input, it provides the correct query in about 64% of cases and the partially collect query in about 88% 2) it has the ability to create correct queries for the utterances not including keywords, compared with the conventional keyword extraction method.