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Corpus-based analysis of Japanese pronunciation of English in view of a phonemic system of English

机译：基于语料库的英语发音的基于语料库鉴于英语音素系统

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摘要

English and Japanese are quite different languages both phonetically and linguistically and this makes it very difficult for Japanese students to master English pronunciation. To help students improve their pronunciation proficiency, a national project of "Advanced Utilization of Multimedia for Education" has started and under this project, a large database of English read by 200 Japanese students was built mainly for CALL system development. This paper describes a corpus-based analysis and comparison of American English (AE) and Japanese English (JE) by using WSJ database and the new JE database. Here, Hidden Markov Models (HMMs) were firstly made for individual phonemes in the two kinds of English. Then comparison of the HMM parameters was done between the two and a tree diagram was drawn of the entire phonemes for each HMM set. The comparison of the two trees showed many interesting characteristics of JE, some of which are well-known habits observed in JE pronunciation. Finally, an interesting analysis was done where difference of task difficulty between a listener's perceiving native American speech and his/her perceiving Japanese English speech was quantitatively estimated by simulation.
机译：英语和日语在语音和语言上都是相当不同的语言，这使得日本学生掌握英语发音非常困难。为了帮助学生提高他们的发音熟练程度，一个国家“高级教育的高级利用”项目已经开始和在这个项目下，200名日本学生读取的大型英语数据库主要用于呼叫系统开发。本文介绍了使用WSJ数据库和新JE数据库的美国英语（AE）和日语英语（JE）的基于语料库的分析和比较。在这里，隐藏的马尔可夫模型（HMMS）首先是为两种英语中的个人音素制作。然后，在两个HMM集合中绘制了HMM参数的比较，并且为每个HMM集绘制了整个音素的树图。两棵树的比较显示了JE的许多有趣的特征，其中一些是在JE发音中观察到的知名习惯。最后，通过模拟定量估算了听众之间的任务困难差异的差异，在听众之间的任务困难的差异的情况下进行了一个有趣的分析。

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