基于声纹和行为识别的在线课堂问答评价系统

2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2022-10-01 DOI:10.1109/DCABES57229.2022.00015

Xiangyun Wang, Jieyu Liang, Xiang Xu, Xiang Li, Quanyin Zhu

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引用次数: 0

摘要

为了在线教学的广泛发展，湘渝学院提出并设计了一套基于卷积神经网络行为识别、语音模式识别和方言识别的在线课堂问答与判断系统。本设计通过麦克风、摄像头等设备采集学生答题时的声音模式和行为，通过计算机算法对学生的声音模式和行为进行识别和分析，判断学生对知识点的掌握程度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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来源期刊

2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

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