Application of Speech Recognition in English PronunciationCorrection

Abstract

In the context of economic globalization, countries are beginning to conduct ordinary trade transactions, so English, as
the most frequently used language, has been incorporated into the education system of each government and students
are being taught English systematically, but the fastest way to improve English must be for a student to have a one-onone lesson with a native English speaker. However, with the world’s advanced educational resources, teaching English
to students on a one-to-one basis is obviously not practical. Therefore, implanting a speech recognition system into
educational software to help the software track or correct students’ English learning in real time is possible. However,
replacing a real English teacher with the current speech recognition accuracy rate is still a challenge. Therefore, this
paper explains in detail how to improve speech recognition accuracy through lip motion tracking and MFCC and to give
learners the corresponding vocabulary ratings and suggestions for improvement through this model. In the long run, the
knowledge tracking model is used to help students find the most suitable learning style.