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首页> 外文期刊>International Journal of Emerging Technologies in Learning (iJET) >Study on the Effectiveness of the ASR-Based English Teaching Software in Helping College Students’ Listening Learning
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Study on the Effectiveness of the ASR-Based English Teaching Software in Helping College Students’ Listening Learning

机译:基于ASR的英语教学软件对大学生听力学习的有效性研究

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The development of automatic speech recognition (ASR) technology makes the human-computer interaction possible. Considering the deficiencies currently in the English pronunciation teaching, this paper employs relevant principles of speech recognition, proposes the design of an automatic English pronunciation grading system in the English teaching field, describes in detail the system structure, functions and processes and introduces the key technologies and steps to implement the system: dynamic time warping algorithm, establishment of corpuses, consonant/vowel (C/V) segmentation technology and grading standards. Results of a small-scale test show that the system is useful to testing the English pronunciation of international students.
机译:自动语音识别(ASR)技术的发展使人机交互成为可能。针对目前英语语音教学的不足,本文运用语音识别的相关原理,提出了英语教学领域自动英语语音评分系统的设计,详细介绍了系统的结构,功能和过程,并介绍了关键技术。以及实施该系统的步骤:动态时间规整算法,语料库的建立,辅音/元音(C / V)分割技术和分级标准。小型测试结果表明,该系统对于测试国际学生的英语发音非常有用。

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