Title: Improving English pronunciation via automatic speech recognition technology

Authors: Xiaobin Liu; Manfei Xu; Meihui Li; Meiting Han; Zejia Chen; Yiling Mo; Xiujuan Chen; Minjia Liu

Addresses: School of Foreign Studies, South China Normal University, Guangzhou, China ' School of Foreign Studies, South China Normal University, Guangzhou, China ' School of Foreign Studies, South China Normal University, Guangzhou, China ' School of Foreign Studies, South China Normal University, Guangzhou, China ' School of Foreign Studies, South China Normal University, Guangzhou, China ' School of Foreign Studies, South China Normal University, Guangzhou, China ' School of Foreign Studies, South China Normal University, Guangzhou, China ' School of Foreign Studies, South China Normal University, Guangzhou, China

Abstract: This study presents a research study on applying automatic speech recognition (ASR) technology in English pronunciation correction. We also discuss the relationship between ELF/ESL learners' self-improvement and English teacher's classroom teaching. The results show that ASR technology can help Chinese English learners improve their English pronunciation. The research aims to provide a new and practical way for ELF/ESL learners to improve English pronunciation as well as provide a new mode of English pronunciation teaching for relevant educators.

Keywords: ASR technology; English pronunciation improvement; English pronunciation teaching.

DOI: 10.1504/IJIL.2019.097674

International Journal of Innovation and Learning, 2019 Vol.25 No.2, pp.126 - 140

Available online: 26 Dec 2018 *

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