【摘要】 随着信息和计算机技术的飞速发展以及对更高效便捷的教学方式的追求，人们对多媒体教学系统的安全性与智能性提出了更高的要求.由于现有的多媒体教学系统太过传统并不适应信息时代新型教学方式的需求，而且部分教师对当今多媒体教室的使用不是特别熟悉，教学设备也不够智能，未能充分利用人脸等生物特征，缺乏语音识别交互命令功能，在教学演示的智能性上也有待提高.针对这一现状，本文设计并实现了基于人脸与语音识别的智慧教室系统，该系统基于Python语言开发，利用树莓派完成对硬件的控制，使教师在上课时可以利用语音来控制教室中所有的设备，提高上课效率.更多还原

【Abstract】 Along With the rapid development of information and computer technology and the pursuit of more efficient and convenient teaching methods, people have put forward higher requirements for the security and intelligence of multimedia teaching systems. Due to the fact that the existing multimedia teaching systems are too traditional to meet the needs of new teaching methods in the information age, and some teachers are not particularly familiar with the use of multimedia classrooms today, the teaching equipment is not intelligent enough to fully utilize biological features such as faces, and lacks voice recognition interactive command functions. The intelligence of teaching demonstrations also needs to be improved. Therefore, in response to this situation, this article designs and implements a smart classroom system based on facial and speech recognition. The system is developed using Python language and utilizes Raspberry Pi to control the hardware, allowing teachers to use voice to control all devices in the classroom during class, improving class efficiency.更多还原