Student Voice Identification Method
Elvira R. Sharipova, Anton A. Horoshiy, Nikita A. Kotlyarov · 2021
This paper deals with the problem of student identification by the teacher in the conditions of distance learning. The purpose of this research is to find a way to automatically identify a student by voice using neural networks for sound processing. The research includes two stages: neural network selection and training with Russian dataset, creating an application for teacher.