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In China, although many college students have achieved good results in English exams, their oral proficiency is relatively weak. With the rapid development of internet information technology, the use of speech recognition technology to improve English oral pronunciation learning has become a research hotspot. The goal of this article is to design a system based on speech recognition and speech synthesis to help learners improve their oral pronunciation. By automatically evaluating learners' pronunciation accuracy and providing targeted correction and training, the system aims to improve learners' pronunciation level. This article adopts the principles and algorithms of speech recognition and speech synthesis. Through speech recognition technology, the system can convert learners' oral recordings into text and evaluate accuracy. By utilizing speech synthesis technology, the system can generate corrected audio based on correction rules to assist learners in pronunciation training. By evaluating and correcting real learners' oral recordings, the system can accurately evaluate learners' pronunciation accuracy and generate targeted corrected audio. Through systematic training and practice, learners' pronunciation level has been effectively improved.
Jing Wang (Fri,) studied this question.