International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 8 Issue 3
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Comparative Study of AI-Based Speech Recognition Tools for L2 Pronunciation Improvement: A Proposed Research Framework

Author(s) Ms. Janani Sri S, Dr. Anuradha V
Country India
Abstract Speech recognition technologies enabled by Artificial Intelligence are modifying personalized learning of second language (L2) pronunciation through instantaneous feedback. Though there is enormous usage, comparative evidence on instructional effectiveness is found to be limited. This paper proposes a systematic research framework for assessing three popular AI-driven tools such as Google Speech-to-Text, ELSA Speak, and Duolingo. In terms of their effects on pronunciation accuracy and speaking fluency among L2 learners.
Using a quasi-experimental design including pre-test and post-test measurements, intra-group and inter-group differences can be evaluated. Statistical methods with a paired sample t-test and one-way ANOVA can also be used for evaluation. The framework incorporates qualitative dimensions such as engagement of the learner, accessibility, and the nature of corrective feedback, which provides thorough evaluation for performance outcome.
The desired outcome indicates that an AI-assisted learning atmosphere can enable quantifiable gains in oral fluency and phonological accuracy. This study contributes to the advancement of Computer-Assisted Language Learning (CALL) and provides useful information for emerging teachers who are looking to incorporate AI technologies into pronunciation pedagogy by offering a reproducible comparative model. The approach also lays the groundwork for future empirical validation across a wide range of learner groups.
Keywords Keywords: AI in Language Learning, Speech Recognition, L2 Pronunciation, Proposed Study, CALL, Fluency
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-21
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.78229
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E-ISSN 2582-2160
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