Construction and Optimisation of an Intelligent Virtual Teacher System for English Language Education

In this paper, a dialogue teaching system based on the virtual teacher is designed mainly by artificial intelligence and 3D modelling technology, and the design of overall architecture of the system is described in detail, including the design of the functional structure of the system and the design of the software architecture. The emotion calculation technology is applied to the teaching system, and the Bayesian optimization method is used to optimize the emotion calculation. By evaluating and analysing the results of the pilot experiment, the results show that the average speech recognition time of the system is 1.58977, and the average response time is 0.83076, calculated from ten sets of test data. After optimization, the system’s accuracy in recognizing emotions has increased to 90%. The virtual teacher’s dialogue teaching system can be adapted to the teaching needs of multiple learning types and can significantly improve students’ motivation, learning experience, and learning effectiveness.