Design of Students’ Spoken English Pronunciation Training System Based on Computer VB Platform

Authors

  • Yanju Jin University of Science and Technology Liaoning

DOI:

https://doi.org/10.3991/ijet.v14i06.10154

Keywords:

Spoken English, VB platform, Voice recognition, AP-based voice scoring, System design

Abstract


Spoken English communication is most commonly used in the international communication. However, the accuracy of spoken English pronunciation is the key factor to restrict English learners in China. For the current situation that spoken English proficiency is generally low in China, this paper aims to design a spoken English pronunciation training system that will provide guidance and help for English learners’ spoken pronunciation. The Visual Basic platform is used in the design of the system. This paper first conducts an in-depth study on the related theories of voice recognition, discusses the correction algorithm of voice scoring and pronunciation, and puts forward more practical and convenient AP-based scoring method, providing full theoretical support for the design of the system. Then through the function analysis and design of the spoken English pronunciation training system, this paper realizes the system design of scoring and correcting errors of English spoken pronunciation based on the VB platform. The system boasts the basic functions, including English phonetic symbols and word pronunciation to follow, real-time voice evaluation, and pronunciation error correction. According to the test, the similarity of the system with the experts is over 90% in scoring and its efficiency of pronunciation error correction reaches 80%, which plays a certain role in improving spoken English of English learners.

Author Biography

Yanju Jin, University of Science and Technology Liaoning

Yanju Jin is from University of Science and Technology Liaoning, China.

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Published

2019-03-29

How to Cite

Jin, Y. (2019). Design of Students’ Spoken English Pronunciation Training System Based on Computer VB Platform. International Journal of Emerging Technologies in Learning (iJET), 14(06), pp. 41–52. https://doi.org/10.3991/ijet.v14i06.10154

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Section

Papers