Design and application of VR-based college English game teaching

Abstract

With the deepening of international exchanges, colleges and universities have higher and higher requirements for the quality of English teaching. In order to improve the quality of English teaching in colleges and universities, the research proposes to design and construct an English game education and teaching system based on virtual reality technology. First, the modern VR technology is used to build the initial English game teaching system, and then the HMM-DNN algorithm is introduced to improve the virtual system. In the process, the CMUShinx speech recognition platform is used to build a robot control command speech recognition system, in order to obtain a good voice acoustic model and achieve correct speech recognition in the virtual environment. Finally, the performance analysis of the built system is carried out to verify the feasibility of the system model. The results show that the step response coefficient of the model built by the research institute can be kept within 1 M for a long time; When the speech type is White and Cafe1, the correct recognition rate of the constructed model for English speech is as high as 98 % and 95 %, and is always higher than other algorithms; In the comparison of the accuracy of students' oral speech recognition scores by different models, the lowest error of the research model is 2.23 %, which is significantly smaller than the other models. The above results indicate that the overall teaching effect of the system built by the research institute is stable, and it has high feasibility for college students' English teaching, which helps to further improve students' interest and ability in English learning, and is of great significance for college English talent training.