Presentation 2002/1/18
Effectiveness of An Expanded Dictionary in Information Retrieval System by Keyword Spotting
Tetsuya Yamamoto, Jun Ogata, Yasuo Ariki,
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Abstract(in English) An information retrieval system by voice input for broadcast news is investigated. Our purpose is to design the system in which robust speech recognition is possible to inquiries from a user with comparatively high flexibility. The transcription result of a news speech is used to contruct a user's keyword dictionary for inquiry. In order to solve a problem of time difference between training data and evaluation data, the N-gram language model was created from the news story in the newest Web data, and it was adapted to evaluation data. In addition, widely used vector space model and LSI method were investigated to deal with the words out of vocabulary. Through the experiments, some effect was verified. The simulation experiment of keyword potting was conducted and the system validity was shown.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) web news / N-gram language model / LSI method / expanded dictionary / keyword spotting
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Conference Date 2002/1/18(1days)
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Registration To Speech (SP)
Language JPN
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Sub Title (in Japanese) (See Japanese page)
Title (in English) Effectiveness of An Expanded Dictionary in Information Retrieval System by Keyword Spotting
Sub Title (in English)
Keyword(1) web news
Keyword(2) N-gram language model
Keyword(3) LSI method
Keyword(4) expanded dictionary
Keyword(5) keyword spotting
1st Author's Name Tetsuya Yamamoto
1st Author's Affiliation Faculty of Science and Technology, Ryukoku University()
2nd Author's Name Jun Ogata
2nd Author's Affiliation Faculty of Science and Technology, Ryukoku University
3rd Author's Name Yasuo Ariki
3rd Author's Affiliation Faculty of Science and Technology, Ryukoku University
Date 2002/1/18
Paper #
Volume (vol) vol.101
Number (no) 604
Page pp.pp.-
#Pages 6
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