AI-Powered 3D Avatar for Real-Time Spoken English Improvement

Abstract

This project introduces a 3D AI-powered avatar that can improve spoken English through in-the-moment dialogue. By utilizing the API for natural language processing and voice recognition, the system communicates with users, identifying grammatical mistakes in spoken phrases and offering remedial feedback to enhance language skills. The backend synchronizes voice processing with the avatar\'s animations to produce a seamless interface in which the avatar blinks, lip-syncs, and makes facial expressions that correspond with the tone of the discussion. The AI\'s behavior is customized with prompt configurations like , , and , which guarantee that the responses are instructive, encouraging, and captivating. In the end, this immersive environment promotes more effective language acquisition by encouraging users to prctice without fear of criticism and providing instant feedback and corrections

Introduction

1. Purpose

The project aims to improve spoken English for non-native speakers using a real-time interactive 3D avatar powered by AI and voice recognition. Unlike traditional learning methods, this system provides instant corrections, personalized feedback, and visual interaction—eliminating the need for a human tutor.

2. System Overview

• Avatar Design: A realistic 3D avatar built in Blender that lip-syncs, blinks, and shows facial expressions during conversation.

• Speech API: Converts user voice to text, interprets meaning, detects errors, and generates appropriate spoken responses.

• Feedback Engine: AI corrects grammar and word usage using structured prompts, e.g.:

  • You said: "I am go to school." → You should say: "I am going to school."

3. Methodology

• Voice Input → Speech-to-Text → AI Feedback → Avatar Response

• AI uses tailored prompt tags to:

  • Maintain a supportive tutor role

  • Keep responses clear, concise, and educational

  • Adjust tone based on user behavior (e.g., calm reassurance if user seems frustrated)

4. Implementation Details

• Backend (JS + PNPM):

  • Manages audio input, avatar animation, and AI responses.

  • Synchronizes avatar actions (lip sync, expressions) with speech output.

• Avatar Animation:

  • Uses .gltf format for seamless integration.

  • Provides natural movements for realism (e.g., blinking, smiling).

5. System Features

• Real-Time Feedback: Instant grammar and pronunciation correction.

• Engaging Interaction: Avatar responds both visually and vocally, reducing user anxiety and increasing immersion.

• AI Configuration:

  • Role: English tutor

  • Personality: Friendly and encouraging

  • Response Style: Clear, concise, corrective

  • Feedback Format: Highlights error and correct version

  • Examples: Provides supporting illustrations when needed

6. Results

• High User Engagement: Users found the avatar lifelike and less intimidating than speaking to a human.

• Accurate Speech Recognition: Reliable conversion of speech to text enabled precise feedback.

• Effective Learning: Users improved grammar, pronunciation, and confidence through repetition and clear guidance.

• Positive Feedback: Learners appreciated the safe, judgment-free environment and real-time correction mechanism.

Conclusion

In order to enhance users\' spoken English, this research shows how AI-driven language learning may be successfully combined with a 3D interactive avatar. Through the use of the API for precise speech recognition and instantaneous feedback, the system offers users quick and accurate edits to their spoken words, assisting them in enhancing their grammar, pronunciation, and sentence construction. The Blender-created avatar improves the user experience by including lifelike animations like lip-syncing, gestures, and facial expressions. This results in an immersive and captivating setting for language practice. Users are encouraged to practice freely since the system\'s capacity to provide individualized feedback devoid of human judgment promotes a secure and encouraging learning environment. The usefulness of merging conversational AI with an interactive avatar is demonstrated by the huge improvement in user engagement and learning outcomes. This method offers language learners a useful tool that improves user involvement and academic results by providing a scalable and entertaining platform. All things considered, this research is a step forward in the use of immersive technologies and artificial intelligence in language acquisition.

References

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Copyright

Copyright © 2025 Swarup Bagul , Atharv Bobade, Shruti Awachar, Sandhya Maske, Prof. Kavita Patil. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.