Design of English Speaking Training System Based on Human-Computer Interaction

How to solve the lack of realtime feedback in oral training has always been a difficult problem. Human-computer interaction is very effective in providing flexibility, personalized support and realtime feedback to the system. This paper uses advanced voice input and recognition technology to accurately transcribe the learner's spoken expression, and then uses voice output and synthesis technology to communicate the voice feedback generated by the system to the learner, and finally realizes the realtime feedback and evaluation function, and gives accurate assessments and suggestions by analyzing the learner's spoken expression. After systematic testing, the pronunciation accuracy rate of students using the human-computer interaction system is 0.3-0.5. The personalized learning support and realtime feedback functions of the system help learners self-correct and improve their oral skills.

I. Introduction

How to improve students' oral expression when learning the voice of other countries? There is currently no good training method. In order to help learners improve their speaking skills, an English speaking training system based on human-computer interaction came into being. This system uses advanced speech recognition and artificial intelligence technology to provide instant feedback and personalized guidance to help learners improve their oral fluency and expression skills. In this context, the purpose of this article is to explore the influence of the English spoken language training system based on human-computer interaction on oral fluency, and to study its potential value in spoken language training.