English Pronunciation Evaluation and Correction Algorithm Technology Based on Artificial Intelligence

Sian  Chen; Linqiang  Tang

doi:10.6180/jase.202512_28(12).0008

English Pronunciation Evaluation and Correction Algorithm Technology Based on Artificial Intelligence

Research Categories

Sian ChenThis email address is being protected from spambots. You need JavaScript enabled to view it. and Linqiang Tang

Zhejiang Institute of Communications, Hangzhou, Zhejiang, 311112, China

Received: September 2, 2024
Accepted: December 22, 2024
Publication Date: April 4, 2025

Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202512_28(12).0008

Based on artificial intelligence, this thesis studies evaluating and correcting English pronunciation. Traditional English teaching evaluation methods are subjective, labourconsuming, time-limited and lack pertinent teaching guidance, which seriously hinders the further improvement of students’ English pronunciation. This article aims to develop a new evaluation and correction method based on speech recognition, speech synthesis, machine learning and natural language processing. The system can objectively evaluate the students’ pronunciation, give them immediate feedback, and correct their mistakes individually. Through accurate assessment and targeted correction, students can better grasp the pronunciation of spoken English. After six months of pronunciation improvement training, one student’s pronunciation accuracy increased from 0.65 to 0.911, while the others improved. The research results of this project can make up for the deficiencies of previous studies and have great theoretical significance and practical application value for English phonetics teaching.

Keywords: English Pronunciation Evaluation; Artificial Intelligence; Pronunciation Correction; Reinforcement Learning

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