For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Example-Based Query Generation for Spontaneous Speech
Hiroya MURAO Nobuo KAWAGUCHI Shigeki MATSUBARA Yasuyoshi INAGAKI
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2005/02/01
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
spoken dialogue, query generation, example-based,
Full Text: PDF(537.4KB)
>>Buy this Article
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.