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A Multimedia Learning System Using HMMs to Improve Phonemic Awareness for English Pronunciation

机译:使用HMM改善英语发音的语音意识的多媒体学习系统

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Phonetic awareness is a critical and often neglected component in the learning of the English language. It is submitted that good pronunciation can improve upon spelling and reading abilities of children. This paper describes a multimedia (ML) learning system that is directed at children with the aim of enhancing their English pronunciation. The system uses Hidden Markov Models (HMMs) to analyze phonetic structures, identify and capture pronunciation errors. It provides children with targeted advice in pronunciation, intonation, rhythm and volume that is equivalent to four years of instruction. The system was tested in an informal experiment that involved thirty two elementary students that were divided into two groups: sixteen high and sixteen low achievers. It helped the low achieving group to significantly improve not only their English pronunciation but their spelling and reading abilities.
机译:语音意识是英语学习中的关键且经常被忽略的组成部分。据认为,良好的发音可以提高孩子的拼写和阅读能力。本文介绍了针对儿童的多媒体(ML)学习系统,旨在增强他们的英语发音。该系统使用隐马尔可夫模型(HMM)来分析语音结构,识别和捕获发音错误。它为孩子们提供有针对性的语音,语调,节奏和音量方面的建议,相当于四年的教学时间。该系统在一个非正式实验中进行了测试,该实验涉及32位小学学生,他们分为两组:十六名高成就者和十六名低成就者。它帮助成绩不佳的小组不仅大大提高了他们的英语发音,而且大大提高了他们的拼写和阅读能力。

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