Design of distance education system for digital media online course based on improved genetic algorithm and speech recognition technology

Wenyi Xu
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Abstract

The distance teaching of digital media network course under the network environment can improve the pertinence of teaching and the sharing of teaching resources. On this basis, a distance teaching system of digital media online course based on improved genetic algorithm and speech recognition technology is designed. The online course teaching system consists of network communication module, data acquisition module, bus transmission module and application loading module. The module connection and function control of online course teaching system are realized under VME bus architecture. Based on improved genetic algorithm and speech recognition technology, using eclipse as the development environment, the data storage layer, user analysis layer and log mining layer of online course teaching are constructed. The control and structure layout of online course teaching terminal are realized on the user interface, and the system optimization design is completed. The system test results show that the bus data transmission performance of the system for online course teaching is good, and it can effectively meet the personalized needs.
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基于改进遗传算法和语音识别技术的数字媒体在线课程远程教育系统设计
网络环境下的数字媒体网络课程远程教学可以提高教学的针对性和教学资源的共享。在此基础上,设计了一种基于改进遗传算法和语音识别技术的数字媒体在线课程远程教学系统。在线课程教学系统由网络通信模块、数据采集模块、总线传输模块和应用程序加载模块组成。在VME总线架构下实现了在线课程教学系统的模块连接和功能控制。基于改进的遗传算法和语音识别技术,以eclipse为开发环境,构建了在线课程教学的数据存储层、用户分析层和日志挖掘层。在用户界面上实现了在线课程教学终端的控制和结构布局,并完成了系统优化设计。系统测试结果表明,该系统用于在线课程教学的总线数据传输性能良好,能够有效满足个性化需求。
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