Effectiveness of AI-driven tools in improving English pronunciation training
With the rise of globalization, English has become essential for communication worldwide, but pronunciation remains a significant challenge for non-native learners. Traditional training methods often fall short due to delayed feedback and lack of personalized instruction. This study explores the potential of AI-assisted pronunciation training, which utilizes speech recognition, machine learning, and natural language processing to offer personalized, real-time feedback. The research evaluates the effectiveness of AI in improving pronunciation accuracy, fluency, and learner confidence. While AI technology shows promise, challenges like speech recognition accuracy and processing complex speech contexts still need to be addressed. Nonetheless, AI represents a transformative tool for language education.
Authors
- Hari Krishnan Andi
- Jing Lyu (ORCID: https://orcid.org/0009-0008-9906-3162)
Institutions
- Lincoln University College (MY)
Publication Details
- Journal
- Region - Educational Research and Reviews
- Published
- 2025-02-28
- DOI
- https://doi.org/10.32629/rerr.v7i1.3523
- Primary Topic
- Foreign Language Teaching Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00