International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Development of an Intelligent Language Learning and Pronunciation Assessment System |
|---|---|
| ABSTRACT | The increasing demand for foreign language proficiency, particularly for standardized examinations such as JLPT or CEFR-aligned certifications, necessitates intelligent and exam-focused digital learning systems. Existing language learning applications primarily provide generalized vocabulary and grammar practice but lack institutional customization and robust pronunciation evaluation mechanisms. This paper presents the development of an Intelligent Language Learning and Pronunciation Assessment System, a centralized web-based platform designed to support structured, examination-oriented language training. The proposed system was developed based on user survey insights, which indicated a strong preference for web-based learning and highlighted speaking proficiency as the most critical yet underserved skill area. The platform enables administrators to create customized lessons, flashcards, tests, and reading passages, while students can access learning materials, attempt assessments, and engage in guided speaking practice. A key component of the system is a Python-based machine learning microservice that utilizes the Whisper speech recognition model for pronunciation evaluation. By converting speech to text and comparing it with expected outputs, the system provides reliable accuracy scoring and feedback. The application is implemented using React, Node.js, PostgreSQL, and Python, integrating full-stack development with AI-driven tutoring to deliver a scalable and institution-adaptable language learning solution. |
| AUTHOR | DR.K.BALASUBADRA, MANJUSHREE M, HARINI T, MANASA G V HOD/Professor, Department of Information Technology, R.M.D Engineering College, Tamil Nadu, India Scholar, Department of Information Technology, R.M.D Engineering College, Tamil Nadu, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403024 |
| pdf/24_Development of an Intelligent Language Learning and Pronunciation Assessment System.pdf | |
| KEYWORDS | |
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