VOIS:首个专为缅甸听障儿童设计的语言治疗应用

A. Thida, Nway Nway Han, Sheinn Thawtar Oo, Sheng Li, Chenchen Ding
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引用次数: 2

摘要

听障儿童的教育具有挑战性,因为他们不太可能发展正常的言语和语言能力。我们提出了一个移动应用VOIS,这是缅甸首个针对听障儿童的语言治疗应用。这个移动应用程序使用基于卷积神经网络(CNN)的离线缅甸语语音识别系统。它可以帮助听障儿童按照自己的节奏进行语言基础训练。为了有效帮助听障儿童理解缅甸语的基础知识,该系统提供了从现实生活中的教育和交流材料中收集的单音节和双音节结构的缅甸语单词。实验结果表明,该系统的预测率接近60%。实验还表明,使用该应用程序,听障儿童可以通过简单的练习自由地学习和操作语言。期望这个应用程序可以为缅甸的听力损失儿童带来机会和生活质量的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VOIS: The First Speech Therapy App Specifically Designed for Myanmar Hearing-Impaired Children
The hearing-impaired children's education is challenging because they are unlikely to develop normal speech and language ability. We propose a mobile application VOIS, which is the first speech therapy application for hearing-impaired children in Myanmar. This mobile application uses a Convolutional Neural Network (CNN) based offline Burmese speech recognition system. It can help hearing-impaired children to train with the language pre-requisites at their own pace. To effectively help the hearing-impaired children to understand the basics of the language, this system provides one-syllable and two-syllable structured Myanmar words collected in real-life educational and communication materials. The experimental result shows that the prediction rate of this system is nearly 60%. Experiments also show the hearing-impaired children can learn and operate the language freely through a simple practice using this application. The expectation is that this application can bring both opportunities and life-quality improvements for children with hearing loss in Myanmar.
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