AUTOMATIC PRONUNCIATION MISTAKE DETECTOR PROJECT REPORT

Abstract

Given the drawbacks of traditional English pronunciation correction systems, such as failure to provide timely feedback and correct learners' pronunciation errors, slow improvement of learners' English proficiency, and even misleading learners, it is critical to developing a scientific and efficient automatic correction system for English pronunciation errors. Our Automatic Pronunciation Mistake Detection project is an efficient automatic correction system for English pronunciation errors. It is designed to enable students/user to improve their pronunciation skills. By using Speech recognition, pyaudio and pyttsx3, the project aims to efficiently diminish the error rate and enhance the accuracy of error detection.