Year: 2025
Type: article
Abstract: 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: Jingjing LYU, Hari Krishnan ANDI
Institution: Lincoln University College
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4410639663