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@article{190498,
        author = {Mr. S. Sivakumar and Dr. A. S. Mohanagiri},
        title = {Pronunciation Aids Driven by AI and Their Effect on the Oral Fluency of ESL Learners},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {4754-4761},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190498},
        abstract = {Artificial intelligence (AI) has brought new tools that provide real-time correction, automated evaluation, and individualized feedback to English language instruction. ELSA Speak, Google Speech Recognition, and other mobile applications are examples of AI-powered pronunciation aids that have become well-known due to their capacity to give learners immediate remedial feedback. The effect of these tools on college-level English as a Second Language (ESL) learners' oral fluency is examined in this study. 60 undergraduate students were split into control and experimental groups for an eight-week intervention using a mixed-methods approach. Quantitative findings showed statistically significant gains in the experimental group's oral fluency as assessed by correctness, articulation, and speech pace. Improved student confidence, less speaking anxiety, and greater drive to practice spoken English were all suggested by qualitative feedback. Although more research is needed to determine their long-term durability, cultural adaptability, and teacher-mediated integration, the results indicate that AI-powered pronunciation aids are useful in promoting oral fluency.},
        keywords = {Artificial Intelligence, CALL, ESL, Pronunciation Tools, Oral Fluency, Language Learning},
        month = {January},
        }