Work

AI-Based Pronunciation Evaluation System

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17606842

Authors: Kirthiga R, Monica P

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7105745876

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