EconPapers    
Economics at your fingertips  
 

Improving English pronunciation via automatic speech recognition technology

Xiaobin Liu, Manfei Xu, Meihui Li, Meiting Han, Zejia Chen, Yiling Mo, Xiujuan Chen and Minjia Liu

International Journal of Innovation and Learning, 2019, vol. 25, issue 2, 126-140

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. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=97674 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijilea:v:25:y:2019:i:2:p:126-140

Access Statistics for this article

More articles in International Journal of Innovation and Learning from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijilea:v:25:y:2019:i:2:p:126-140