Software Tool for Pronunciation Training of Specific English Terminology

Jan Malucha
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Abstract

This paper describes a learning tool developed in MATLAB environment for training English pronunciation of specific terminology, focused on special vocabulary from signal processing and electronics by default. The tool enables to measure three phonetic parameters, namely accent, intonation and voicing. This is done using various computational methods and algorithms including basic filtering, short-time energy, average magnitude difference function or harmonic-to-noise ratio. Spoken words are compared with reference pronunciation in terms of phonetic parameters. Each parameter can be evaluated separately or all parameters together. The learner gets immediate feedback in two forms – percentage correctness of its pronunciation and verbal recommendation at which points to improve its pronunciation, supported by an indicative visual feedback in form of graphs showing each of the phonetic parameters along the spoken word. Two regimes of practices are possible.
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特定英语术语发音训练软件工具
本文介绍了在MATLAB环境下开发的一种用于训练特定术语英语发音的学习工具,主要针对信号处理和电子领域的特殊词汇。该工具可以测量三个语音参数,即重音、语调和语音。这是通过各种计算方法和算法完成的,包括基本滤波,短时能量,平均幅度差函数或谐波噪声比。口语单词与参考语音在语音参数方面进行比较。每个参数可以单独求值,也可以将所有参数一起求值。学习者得到两种形式的即时反馈——发音的正确率百分比和口头建议,以改进发音,并得到指示性的视觉反馈,以图表的形式显示口语单词的每个语音参数。两种实践制度是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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