The Performance Comparison between Speech Recognition Tool and Text Interpreting when Class Archives are made with Subtitle for Communication Access
| Project/Area Number |
17500663
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Educational technology
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| Research Institution | Department of Education and Social Welfare, Osaka Ohtani University |
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Principal Investigator |
OKURA Takaaki Osaka Ohtani University, Department of Education and Social Welfare, Professor, 教育福祉学部, 教授 (50223772)
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| Co-Investigator(Kenkyū-buntansha) |
TAKAHATA Yukio Kwansei Gakuin University, Department of Policy Studies, Professor, 総合政策学部, 教授 (90183061)
CHUJO Michio Kwansei Gakuin University, Department of Policy Studies, Professor, 総合政策学部, 教授 (70278779)
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| Project Period (FY) |
2005 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥3,200,000 (Direct Cost: ¥3,200,000)
Fiscal Year 2006: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2005: ¥2,100,000 (Direct Cost: ¥2,100,000)
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| Keywords | text interpreting / alternative typing / voice recognition / repetition / incorrect recognition / incorrect conversion / students who are deaf or hard of hearing / 音声認識ツール / 同時同期字幕 / 復唱者 / アクティブ字幕 |
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| Research Abstract |
We could get the reports from the deaf student who cooperated in our research. It is the data about incorrect recognition and incorrect conversion by the system which inputs into the voice recognition engine by repetition. Moreover, supported by Kanazawa laboratory in Gumma University, the alternative typing method for Text interpreting was experimented in parallel with the method of repetition type speech recognition.
As for Text interpreting and speech recognition, we appreciated that they were separated gradually as business, by investigation in the U.S.A. Each customer group is being divided. Now, in Japan, Speech-to-Text service is not materialized as business. However, this is the subject which must surely be considered, when realizing continuous Speech-to-Text service in higher education.
We were able to get the following results in our research supported with the grants-in-aid for scientific research.
(1) It became possible to set a speech recognition engine (Dragon Naturally Speaking) into the capturing system as a video-synchronous subtitle.
(2) Text interpreting system (IPTalk) operated by two or more person's alternative typing is most useful at present when we compare degree of practical use in some Speech-to-Text Systems.
(3) When we compare two trainings for captionists of Text interpreting and for repetition/correction person, the former one is advantageous. It is because Text interpreting is simple for equipment and the special room is not needed, either. However, the operator of a speech recognition system has a labor cost higher than Text interpreting in the U.S. which precedes. This is because many people think that operation of speech recognition system is "difficult work."
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Report
(3 results)
Research Products
(18 results)
