PBL English micro-audio and video teaching model based on data mining algorithm

Abstract

At present, PBL English (foreign language) micro audio and video teaching mode is gradually rising, and the application of intelligent algorithm in it has gradually attracted people’s attention. This paper studies PBL English micro audio and video teaching mode based on human-computer interaction and micro audio and video recognition and data mining algorithm. Through the extraction and selection of acoustic features of speech emotion, the relationship between emotion and each feature parameter is explored, and the acoustic feature with the strongest emotion discrimination ability is selected. Using the machine learning method of support vector machine, a speech emotion recognition model with high recognition rate is constructed and applied to the mobile speech emotion recognition system, and the algorithm is verified by experiments. The experimental results show that the prediction accuracy is 70%. The algorithm proposed in this paper has good recognition effect, strong human-computer interaction ability and good effect. The research of this paper will contribute to the development of English (foreign language) micro audio and video teaching mode, optimize the human-computer interaction mode of English (foreign language) micro audio and video teaching, and improve the teaching autonomy.