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Application of Automatic Speech Recognition Theory in Improving Pronunciation and Listening Skills for EFL Learners

  • Donghong Li
  • , Min Yang
  • , Tongtong Lyu
  • , Bo Li
  • , Yonggang Zhao
  • , Sheng Qin
  • Northwestern Polytechnical University Xian
  • Xi'an International Studies University
  • Xi'an University of Science and Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

This paper explores how Automatic Speech Recognition (ASR) technology, rooted in human speech recognition research, can be leveraged to enhance English as a Foreign Language learners' pronunciation and listening skills. Inspired by insights gained from ASR, this study introduces a novel theory called the Duality of Pronunciation and a new approach to English pronunciation instruction, known as the Parallel Phonetic Transcription Teaching Method. This approach emphasizes a more holistic understanding of the sound system, focusing on the interconnectedness of sounds within words and phrases. By combining traditional pronunciation drills with advanced techniques and investigating the underlying principles of sound change, this method aims to enhance both pronunciation accuracy and listening comprehension.

源语言英语
主期刊名2024 International Conference on Cyber-Physical Social Intelligence, ICCSI 2024
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350376739
DOI
出版状态已出版 - 2024
活动2024 International Conference on Cyber-Physical Social Intelligence, ICCSI 2024 - Doha, 卡塔尔
期限: 8 11月 202412 11月 2024

出版系列

姓名2024 International Conference on Cyber-Physical Social Intelligence, ICCSI 2024

会议

会议2024 International Conference on Cyber-Physical Social Intelligence, ICCSI 2024
国家/地区卡塔尔
Doha
时期8/11/2412/11/24

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