With the development of virtual scenes, the degree of simulation and functions of virtual reality have been very complete,\nproviding a new platform and perspective for teaching design. Firstly, the hidden Markov chain model is used to perform emotion\nrecognition on English speech signals. English speech emotion recognition and speech semantic recognition are essentially the\nsame. Hidden Markov style has been widely used in English speech semantic recognition. The experiments of feature extraction\nand pattern recognition of speech samples prove that Hidden Markovian has higher recognition rate and better recognition effect\nin speech emotion recognition. Secondly, combining the human pronunciation model and the hearing model, by analyzing the\nimpact of the glottis feature on the human ear hearing-model feature, the research application of the English speech recognition\nemotion interactive simulation system uses the glottis feature to compensate the human ear, hearing feature is proposed by\ncompensated English speech recognition, and emotion interaction simulation system is used in the English speech emotion\nexperiment, which has obtained a high recognition rate and showed excellent performance.
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