An Online Classroom Question Answering Evaluation System Based on Voiceprint and Behavior Recognition

Abstract

Faculty of Xiangyu proposed and designed an online class question answering and judgment system based on convolutional neural network behavior recognition, voice pattern recognition and dialect recognition for the wide development of online teaching. This design collects students' voice patterns and behaviors when answering questions through microphone, camera and other equipment, identifies and analyzes students' voice patterns and behaviors through computer algorithm, and judge's students' mastery of knowledge points.