Presentation | 2013-06-14 Keyword Extraction from Speech on an Electronic Note-taking Support System Chifuyu YONEKURA, Kohei OTA, Yuto FURUYA, Hiromitsu NISHIZAKI, Yoshihiro SEKIGUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes the effectiveness of a spoken term detection (STD) technique on an electric note-taking support system. Most STD studies targeted to improve term detection performance, and there are few STD researches focus on its effectiveness on real environments. Therefore, we test the effectiveness of the STD technique in a browsing work using the electric note-taking support system we have already developed. This is performed by a subjective experiment. In the subjective experiment, subjects made an electronic notes by using the system with listening to a lecture, and they answered questions related to the lecture with browsing the notes. A response time that a subject correctly answered the all questions was measured. When the subjects browsed theier notes, half of the subjects used the STD technique and the others did not use it. The experimental result showed that the subjects who used the STD technique answered the all questions faster than the other subjects. This claimed that the STD technique worked well on the browsing work on the electric note-taking system. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Electronic note-taking support system / real environments / speech recognition / spoken term detection |
Paper # | TL2013-3,NLC2013-3 |
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Committee | NLC |
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Conference Date | 2013/6/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Keyword Extraction from Speech on an Electronic Note-taking Support System |
Sub Title (in English) | |
Keyword(1) | Electronic note-taking support system |
Keyword(2) | real environments |
Keyword(3) | speech recognition |
Keyword(4) | spoken term detection |
1st Author's Name | Chifuyu YONEKURA |
1st Author's Affiliation | Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi() |
2nd Author's Name | Kohei OTA |
2nd Author's Affiliation | Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi |
3rd Author's Name | Yuto FURUYA |
3rd Author's Affiliation | Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi |
4th Author's Name | Hiromitsu NISHIZAKI |
4th Author's Affiliation | Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi |
5th Author's Name | Yoshihiro SEKIGUCHI |
5th Author's Affiliation | Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi |
Date | 2013-06-14 |
Paper # | TL2013-3,NLC2013-3 |
Volume (vol) | vol.113 |
Number (no) | 83 |
Page | pp.pp.- |
#Pages | 6 |
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