A real-time recognition model of teachers' voice and emotion for college online education

Zheng Hu; He Wang; Jia Cun Zhu; Xun Zhang

doi:10.1117/12.2637015

29 April 2022 A real-time recognition model of teachers' voice and emotion for college online education

Zheng Hu, He Wang, Jia Cun Zhu, Xun Zhang

Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 1224722 (2022) https://doi.org/10.1117/12.2637015
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China

Abstract

In order to improve the recognition rate of teachers' voice emotion recognition, this paper proposes a new model of teachers' voice emotion recognition for online education in colleges and universities. In the process of online education, there are some errors and noises in Teachers' voice, which need to be corrected and denoised. On this basis, teachers' voice emotion features are selected for dimensionality reduction, based on the reduced teachers' voice emotion feature parameters. The template of teacher's speech emotion recognition is constructed to realize the real-time recognition of teacher's speech emotion. The experimental results show that, under different experimental objects, the accuracy of the proposed model is much higher than that of the contrast model, which proves that the proposed model has good performance of emotion recognition.

Citation Download Citation

Zheng Hu, He Wang, Jia Cun Zhu, and Xun Zhang "A real-time recognition model of teachers' voice and emotion for college online education", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 1224722 (29 April 2022); https://doi.org/10.1117/12.2637015

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