聋哑和听障儿童语音记录在线主观评价系统的开发

Attila K. Varga, L. Czap
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引用次数: 6

摘要

本文的目的是介绍一个基于网络的评估系统,该系统是与德布雷森大学和米什科尔茨大学合作开展的研究的一部分,该研究是在TÁMOP-4.2.2.C-11/1/KONV(社会更新业务计划)项目框架内进行的,该项目名为“聋人和重听人基于互联网的语言发展的基础和应用研究以及他们进步的客观测量”。该项目旨在解决基础和应用研究任务,开发一种应用程序,以比已知方法更有效地支持聋人和听障人士的语言教学和理解。该项目的想法来自德布勒森大学开发的用于声音可视化的视听转码器,以及米什科尔茨大学开发的用于发音呈现的三维头部模型,称为“说话的头”。本计划最重要的目标,是透过视觉化的语音及发音影像,建立一个复杂的系统,以提供视听语音识别,并建立教育架构。此外,该系统还具有许多其他功能(韵律显示,自动评估和基于知识的系统实施),随后允许个人练习不仅在计算机上,而且在移动设备上。然而,重要的是要注意到,超级教师的个人贡献是不可替代的,但可以极大地支持。完成所需视听转码的模块是语言无关的,说话头,并且可以通过训练新的神经网络来实现语言无关的自动鉴定。为了开发自动资格,录制的语音样本需要由专业教师和非专业学生进行评估。本文介绍了为此开发的在线评价系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an online subjective evaluation system for recorded speech of deaf and hard of hearing children
The aim of this paper is to present a web-based evaluation system developed as part of a research has been carried out in cooperation with University of Debrecen and University of Miskolc in the framework of the project TÁMOP-4.2.2.C-11/1/KONV (Social Renewal Operational Programme) called `Basic and Applied Research for Internet-based Speech Development of Deaf and Hard of Hearing People and for Objective Measurement of Their Progress'. The project is aimed at solving basic and applied research tasks to develop an application to support the speech teaching and understanding of deaf and hearing-impaired people more effectively than known methods. The idea of the project has come from an audio-visual transcoder for sound visualization developed at the University of Debrecen, and a three-dimensional head model for articulation presentation, called `talking head' developed at the University of Miskolc. The most important aim of the project is to create a complex system to provide audio-visual speech recognition by visualization of images of speech and articulation, setting up an educational framework. In addition, the system has many other features (prosody display, automatic evaluation and knowledge-based systems implementation), which subsequently allow individual practice not only on computers but also on mobile devices. However, it is important to note that personal contribution of surdo-pedagogues can not be replaced, but can greatly support. The module performing the required audio-visual transcoding is language-independent, the talking head, moreover automatic qualification can be made language-independent by training new neural networks. For development of automatic qualification, the recorded speech samples has been required to be evaluated by surdo-pedagogues and lay students. The online evaluation system developed for this purpose is shown in this paper.
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