2013 Fiscal Year Final Research Report
Improvement of Spoken Term Detection Technique and its Application to Speech Recognition and Spoken Document Retrieval
| Project/Area Number |
23700111
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Media informatics/Database
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| Research Institution | University of Yamanashi |
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Principal Investigator |
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| Research Collaborator |
SEKIGUCHI Yoshihiro 山梨大学, 医学工学総合研究部, 教授 (70020493)
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| Project Period (FY) |
2011 – 2013
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| Keywords | 音声中の検索語検出 / 音声認識 / 音声ドキュメント検索 / 音声ドキュメント処理 / 機械学習 / 情報検索 / STD応用 / 言語モデル |
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| Research Abstract |
The goal of this study is refinement of the spoken term detection (STD) technique. An STD technology can detect speech intervals, where query terms are uttered, in lots of spoken documents. In addition, I also aim at adapting the STD method to other technologies such as speech recognition for improving their refinement. I developed the STD methods using multiple speech recognizers' outputs, confidence measures based on majority voting, and machine learning. In the experiment on STD, my techniques achieved improvement of the STD performance comparing to the baseline system. In addition, I adopted my STD technique to making recognition dictionary, which is necessary for speech recognition. In the result, my technique improves speech recognition performance. Furthermore, I implemented the STD technique to an electronic note-taking support system and evaluated its effectiveness of utilization of the STD technique. The system with STD is useful for retrieving words from multimedia data.
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Research Products
(14 results)
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[Journal Article] 音声中の検索語検出のためのテストコレクションの構築と分析2013
Author(s)
伊藤慶明,西崎博光,中川聖一,秋葉友良,河原達也,胡新輝,南條浩輝,松井知子,山下洋一,相川清明
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Journal Title
情報処理学会論文誌
Volume: Vol.54,No.2
Pages: 471-483
URL
Peer Reviewed
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