Study on the Effectiveness of the ASR-Based English Teaching Software in Helping College Students’ Listening Learning

Hongyan Zhao


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.


speech recognition, English learning, automatic grading, dynamic time warping, phoneme segmentation

Full Text:


Copyright (c) 2017 Hongyan Zhao

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
Creative Commons License
Scopus logo Clarivate Analyatics ESCI logo EI Compendex logo IET Inspec logo DOAJ logo DBLP logo Learntechlib logo EBSCO logo Ulrich's logo Google Scholar logo MAS logo