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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.