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首页> 外文期刊>International Journal of Continuing Engineering Education and Life-long Learning >Design of internet of things online oral English teaching platform based on long-term and short-term memory network
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Design of internet of things online oral English teaching platform based on long-term and short-term memory network

机译：基于长期和短期内存网络的基于长期和短期内存网络的在线口语英语教学平台互联网设计

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摘要

In order to overcome the problems of low fluency and operability in the current online oral English teaching platform, an online oral English teaching platform based on internet of things is proposed. This platform uses the internet of things to design the architecture of online oral English teaching platform. The virtual teaching environment was constructed and the oral English teaching system was used to correct the pronunciation and mouth movements of the users. A part-of-speech labelling model based on the long and short time memory network is constructed, and an attention mechanism is introduced into the long and short time memory network. Experimental results show that the network delay of the platform designed in this paper varies between 0.26 s and 0.37 s, the required cost and development time are reduced by about 50%, and the user-friendly performance of the man-machine interface is improved by 13.20%.
机译：为了克服当前在线口语英语教学平台中流畅性和可操作性的问题，提出了基于事物互联网的在线口语英语教学平台。该平台使用物联网来设计在线口语英语教学平台的体系结构。构建虚拟教学环境，使用口头英语教学系统来纠正用户的发音和嘴巴运动。构造了基于长时间内存网络的语音标记模型，并将注意机制引入了长时间的时间内存网络。实验结果表明，本文设计的平台的网络延迟在0.26秒之间变化，所需的成本和开发时间减少了约50％，并且人机界面的用户友好性能得到改善13.20％。

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