Enhancing Pronunciation Skills through AI-BasedSpeech Recognition Technologies
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Abstract
Pronunciation is one of the most difficult areas of second language acquisition and more especially for EFL learners. Typical classroom settings can be difficult to provide individual pronunciation feedback and corrective feedback. The recent developments of Artificial Intelligence (AI) especially language learning through AI speech recognition have revolutionized the way language is learned, providing instant, personalized and data-driven pronunciation feedback. This paper proposes to examine how well AI speech recognition technology can improve the pronunciation skills of learners. The study is based on previous research, theories on second language acquisition, and current advances in education technology to explore the role of AI applications in facilitating pronunciation accuracy, learner autonomy, motivation, and confidence. The paper proposes that in the field of pronunciation learning, continuously assessing and providing immediate corrective feedback on students' pronunciation through AI-based speech recognition technology can generate adaptive learning experiences and effectively enhance pronunciation learning outcomes. However, the potential for educating with them is only realized if a number of issues are tackled, including technology, accent bias, privacy and accessibility. The results indicate that the use of AI pronunciation tools in language teaching could enhance the learning atmosphere and be effective when combined with a classical language teaching method.
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