文章基本信息

标题：Study on the Effectiveness of the ASR-Based English Teaching Software in Helping College Students’ Listening Learning
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作者：Hongyan Zhao
期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2017
卷号：12
期号：8
页码：146-154
语种：English
出版社：Kassel University Press
其他摘要：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.
关键词：speech recognition; English learning; automatic grading; dynamic time warping; phoneme segmentation