Effectiveness of AI-driven tools in improving English pronunciation training

Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v7i1.3523

Jingjing LYU, Hari Krishnan ANDI

Faculty of Social Science, Arts and Humanities, Lincoln University College

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.

Keywords

AI pronunciation training; speech recognition; machine learning; language education; language fluency

References

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