基于人机智能交互的英语网络学习平台语音通信增强研究

Research on Voice Communication Enhancement of English Network Learning Platform Based on Human-computer Intelligent Interaction

为提高英语网络学习平台的资源调度性能,提升英语网络学习平台语音通信增强能力,提出基于人机智能交互的英语网络学习平台语音通信增强模型。采用高并发接入请求的资源分配方法进行语音通信的信道垂直切换处理,建立以网络拥塞度、用户数据传输速率为约束目标参量的英语网络学习平台语音通信优化控制模型,通过人工智能交互和自适应控制,结合多目标优化切换和解析,得出综合效益值,实现语音通信增强。实验得知,采用该方法进行英语网络学习平台语音通信增强处理,可提高通信稳定性,降低输出干扰,提高英语网络学习平台的资源自适应分配能力。

In order to improve the resource scheduling performance of the English online learning platform and enhance the voice communication enhancement capability of the English online learning platform, a voice communication enhancement model of the English online learning platform based on human-computer intelligent interaction is proposed. The resource allocation method of high concurrent access requests is used to process the vertical channel switching of voice communication, and an optimal control model for voice communication of the English network learning platform is established with network congestion and user data transmission rate as the constraint target parameters. Adaptive control, combined with multi-objective optimization switching and analysis, obtains the comprehensive benefit value and realizes the enhancement of voice communication. The experiment shows that using this method to enhance the voice communication of the English online learning platform can improve the communication stability, reduce the output interference, and improve the resource adaptive allocation ability of the English online learning platform.