Practice and automation of remote real-time captioning support for students with disabilities using speech recognition technology

Mikio Yamamoto, Akiko Sakamoto, Nahoko Okada
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Abstract

Real-time captioning is one of the effective support for ensuring the accessibility of lectures for students with hearing disabilities. Speech recognition technology is expected as a technology for automating real-time captioning support in higher education. However, the recognition rate of Japanese is often insufficient for hearing-impaired students to accurately understand the content of lectures in real time, and it is necessary to correct the misrecognition results. For this reason, the mainstream of real-time captioning support for hearing-impaired students in Japanese higher education is so-called PC note-taking, in which the supporter summarizes the content of the lecture and inputs it to a personal computer. We have classified the automation level by using speech recognition technology into four stages, and by optimizing the automation level for each class, we are gradually promoting remote automation of real-time captioning support at Hiroshima University from 2019. In this paper, we report on the practice of step-by-step automation of real-time captioning support at Hiroshima University, and discuss the advantages of the remote summary dictation we have adopted, including cost-effectiveness.
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基于语音识别技术的残疾学生远程实时字幕支持的实践与自动化
实时字幕是保证听障学生听得懂讲座的有效支持之一。语音识别技术有望成为高等教育实时字幕支持的自动化技术。然而,日语的识别率往往不足以让听障学生实时准确理解讲课内容,有必要对误读结果进行纠正。因此,日本高等教育对听障学生的实时字幕支持的主流是所谓的PC笔记,即支持者将讲座内容总结并输入到个人电脑中。我们将使用语音识别技术的自动化水平分为四个阶段,并通过优化每个班级的自动化水平,从2019年开始逐步推进广岛大学实时字幕支持的远程自动化。在本文中,我们报告了广岛大学实时字幕支持逐步自动化的实践,并讨论了我们所采用的远程摘要听写的优势,包括成本效益。
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