Personalized Voice-Based Learning Model: Enhancing Education with NLP and VR

28 July 2025, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

This paper proposes an innovative educational model integrating Natural Language Processing (NLP), voice cloning, and Virtual Reality (VR) technologies. Unlike traditional methods, this model allows students to ask questions using their own voice and receive AI- generated responses in the same voice, thereby enhancing knowledge retention and engagement. By combining speech recognition, text-to-speech conversion, and VR-based gamification, the proposed system aims to provide a more effective and inclusive learning experience. This study examines the pedagogical implications, technological framework, and potential applications of this model.

Keywords

Natural Language Processing
Voice Cloning
Speech Recognition
AI-Driven Education
Personalized Learning
Virtual Reality
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