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.