The Performance Comparison between Speech Recognition Tool and Text Interpreting when Class Archives are made with Subtitle for Communication Access

语音识别工具与文本翻译在制作带有字幕的班级档案以供交流访问时的性能比较

基本信息

批准号：
17500663
负责人：
OKURA Takaaki
金额：
$ 2.05万
依托单位：
Department of Education and Social Welfare, Osaka Ohtani University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2006
项目状态：
已结题

项目摘要

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."

我们可以从合作研究的聋哑学生那里获得报告。这是关于系统不正确识别和不正确转换的数据，这些数据通过重复输入到语音识别引擎中。此外，在Gumma University的Kanazawa实验室的支持下，与重复类型的语音识别方法并行进行了文本解释的替代键入方法。作为文本解释和语音识别的方法，我们感谢他们通过调查逐渐将其分开为业务，在美国，每个客户群都被分割了。现在，在日本，语音到文本服务的服务未被视为业务。但是，这是必须考虑到高等教育中持续的语音到文本服务时必须考虑的主题。我们能够在我们的研究中获得以下结果，并获得了科学研究的赠款。（1 ）可以将语音识别引擎（自然而然地说）设置为视频同步字幕。（2）目前，由两个或多个人的替代键入操作的文本解释系统（IPTALK）目前最有用比较在某些语音到文本系统中的实际使用程度。（3）当我们比较文本解释和重复/更正人的两种培训时，前者是有利的。这是因为文本解释对于设备很简单，也不需要特殊室。但是，语音识别系统的运营商的人工成本高于在美国之前的文字解释。这是因为许多人认为语音识别系统的操作是“艰难的工作”。