PRONUNCIATION TRAINING USING AI VOICE TECHNOLOGY

The advancement of artificial intelligence (AI) has significantly transformed language learning methodologies, particularly in the domain of pronunciation training. Traditional approaches often rely on instructor feedback, which may be limited by time, subjectivity, and accessibility. AI voice technology offers a scalable, consistent, and data-driven alternative that enhances learners’ phonetic accuracy and communicative competence. This thesis examines the role of AI-powered speech recognition, synthesis, and feedback systems in improving pronunciation skills among second language learners. Drawing on recent empirical studies, the research highlights the effectiveness of AI tools in providing real-time corrective feedback, personalized learning pathways, and increased learner autonomy. The findings suggest that AI voice technology not only supplements traditional instruction but also redefines pronunciation pedagogy in contemporary language education.