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Using Automatic Speech Recognition to Enhance Education for All Students: Turning a Vision into Reality

机译:利用自动语音识别来增强所有学生的教育:将视觉变为现实

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Legislation requires that educational materials produced by staff should be accessible to disabled students. Speech materials therefore require captioning and the Liberated Learning Initiative has demonstrated that automatic speech recognition provides the potential to make teaching accessible to all and to assist learners to manage and search online digital multimedia resources. This could improve the quality of education as the automatic provision of accessible synchronised lecture notes enables students to concentrate on learning and enables teachers to monitor and review what they said and reflect on it to improve their teaching. Standard automatic speech recognition software lacks certain features that are required to make this vision a reality. The only automatic speech recognition tool that is being developed to specifically overcome these identified problems would appear to be IBM ViaScribe and investigation of its application in educational environments is occurring through the Liberating Learning Consortium. This paper will describe both achievements and current developments.
机译:立法要求员工生产的教育材料应该可以通过残疾学生访问。因此,言语材料需要标题,解放的学习倡议已经证明,自动语音识别提供了对所有人提供教学的潜力,并协助学习者管理和搜索在线数字多媒体资源。这可以提高教育质量,因为可访问的可接近的同步讲义笔记使学生能够专注于学习并使教师能够监控和审查他们所说的并反思它以改善他们的教学。标准的自动语音识别软件缺乏特定的功能,以实现这一愿景成为现实。正在开发的唯一开发的自动语音识别工具克服这些已识别的问题似乎是IBM的,并且通过解放的学习联盟发生对其在教育环境中的应用的调查。本文将描述成果和当前发展。

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