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AI-Based Pronunciation Evaluation System
Abstract
This project aims to develop an AI-Based Pronunciation Evaluation System that helps users improve their spoken English by analyzing their pronunciation using Artificial Intelligence techniques. The system records user speech, processes it using speech recognition and deep learning models, compares it with standard pronunciation datasets, and provides feedback scores on pronunciation accuracy, fluency, and articulation. The system uses tools such as Python, Speech-to-Text APIs, MFCC feature extraction, and a CNN-LSTM model for accurate evaluation. This project enhances language learning by providing real-time pronunciation feedback and analytics.
References
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Zhang, L., & Li, J. (2023). “AI-Driven Pronunciation Feedback Systems for English Language Learning.” International Journal of Artificial Intelligence in Education.
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Google Cloud Speech-to-Text Documentation (2024). “Speech Recognition and Pronunciation Assessment API Overview.” Google Cloud.
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