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Web-Integrated Speech Correction System Use in Intelligent Oral English Teaching

Author

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  • Jinjiao Zhuang

    (School of General Education, Nantong Institute of Technology, China)

  • Chuanying Liu

    (School of Media and Design, Nantong Institute of Technology, China)

Abstract

This study combines artificial intelligence, network technology, and language teaching to build a web-integrated intelligent oral English correction system. The system uses end-to-end deep learning speech recognition and adaptive feedback to realize real-time and quantitative pronunciation correction. Experiments on English majors from two universities show that the system improves recognition accuracy by 8.2% and error correction accuracy by 12.5% compared with traditional non-web automatic speech recognition systems. It performs stably under multi-accent and noisy conditions. Its automatic feedback effectively improves learners' active correction and learning satisfaction. This work summarizes the theoretical basis, technical paths, and challenges of intelligent oral English teaching. It also provides empirical support for the application of speech recognition in computer-assisted language learning.

Suggested Citation

  • Jinjiao Zhuang & Chuanying Liu, 2026. "Web-Integrated Speech Correction System Use in Intelligent Oral English Teaching," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global Scientific Publishing, vol. 21(1), pages 1-16, January.
    • Handle: RePEc:igg:jwltt0:v:21:y:2026:i:1:p:1-16
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