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

Authors

  • Hongyan Zhao Xi'an International University

DOI:

https://doi.org/10.3991/ijet.v12i08.7142

Keywords:

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

Abstract


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.

Author Biography

Hongyan Zhao, Xi'an International University

Hongyan Zhao, postgraduate and associate professor, is an English teacher at Xi’an International University, 408 Zhangba Road, Shaanxi Xi’an, China. She has been engaged in English teaching for almost ten years and has taught more than ten courses such as English writing, advanced English, marketing English, business English, college English, etc. Her major research orientations are business English and English language teaching.

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Published

2017-08-01

How to Cite

Zhao, H. (2017). Study on the Effectiveness of the ASR-Based English Teaching Software in Helping College Students’ Listening Learning. International Journal of Emerging Technologies in Learning (iJET), 12(08), pp. 146–154. https://doi.org/10.3991/ijet.v12i08.7142

Issue

Vol. 12 No. 08 (2017)

Section

Short Papers

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