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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得到报告。它是系统通过重复输入到语音识别引擎中的关于错误识别和错误转换的数据。此外，在Gumma大学金泽实验室的支持下，将文本解释的替代输入方法与重复类型语音识别方法并行进行了实验。至于文本翻译和语音识别，我们感谢他们是在美国通过调查逐渐分离出来的业务。每个客户群都在被划分。现在，在日本，语音转文本服务并没有作为商业实现。然而，这是在高等教育中实现持续的语音转文本服务必须考虑的问题。在科研资助的支持下，我们的研究取得了以下成果：(1)在捕捉系统中设置语音识别引擎（龙自然说话）作为视频同步字幕成为可能。(2)比较目前一些语音转文本系统的实际应用程度，由两人或多人交替打字操作的文本翻译系统（IPTalk）是最有用的。(3)当我们比较两种培训时，文本口译的capists和重复/纠正的人，前者是有利的。这是因为文字口译设备简单，也不需要专门的房间。但是，语音识别系统操作员的人力成本比美国的文本翻译要高。这是因为很多人认为语音识别系统的操作是“困难的工作”。