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@article{190082,
author = {Dr. Kiran Sitole},
title = {Technology and Pronunciation Learning: AI, Applications, and the Future of Speech Training},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {7},
pages = {7298-7300},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=190082},
abstract = {Pronunciation remains one of the most challenging components of second language acquisition due to its reliance on auditory perception, articulatory precision, and sustained practice. Recent advances in educational technology, particularly Artificial Intelligence (AI), have introduced innovative approaches to pronunciation instruction that extend beyond traditional classroom methods. This paper examines the role of AI-driven technologies, mobile applications, and immersive digital environments in transforming pronunciation pedagogy. Drawing on current research in technology-based pronunciation training, the study explores how speech recognition, acoustic analysis, and adaptive feedback systems support individualized learning and objective assessment. The paper also discusses the pedagogical potential of mobile-assisted language learning, virtual and augmented reality, and data analytics in enhancing learner autonomy and communicative competence. Additionally, issues of accessibility, equity, and global pronunciation norms are considered, highlighting the democratizing potential of technology. The paper concludes by arguing that AI should be viewed not as a replacement for human instruction but as a complementary tool that enables more precise, personalized, and inclusive pronunciation learning in future language education.},
keywords = {Pronunciation learning, Artificial Intelligence (AI), speech recognition, mobile-assisted language learning (MALL), technology-based pronunciation training, virtual and augmented reality, second language acquisition},
month = {December},
}
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