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首页> 外文期刊>International Journal of Technology >New ns-3-based Emulation Platform for Performance Evaluation of TCP-based Speech Recognition
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New ns-3-based Emulation Platform for Performance Evaluation of TCP-based Speech Recognition

机译:基于ns-3-的新仿真平台,用于基于TCP的语音识别性能评估

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Internet-based speech recognition applications prefer using TCP to ensure reliable speech data delivery. TCP-based speech recognition can be designed to push recognition updates on the fly, without waiting for all speech data to fully arrive at the server. We propose an ns-3-based emulation platform to evaluate the performance of TCP-based speech recognition. The server and the client are connected to the simulated network using a tap bridge. The real-time performance of full-duplex speech recognition is measured based on data size, loss rate, and propagation delay. For all our data samples, the application exhibits good performance when the propagation delay is 120 seconds and the loss rate is less than 0.3%, as well as when the propagation delay is 50 seconds and the loss rate is less than 0.5%.
机译:基于Internet的语音识别应用程序更喜欢使用TCP来确保可靠的语音数据传递。可将基于TCP的语音识别设计为即时推送识别更新,而无需等待所有语音数据完全到达服务器。我们提出了一个基于ns-3的仿真平台,以评估基于TCP的语音识别的性能。使用分接桥将服务器和客户端连接到模拟网络。基于数据大小,丢失率和传播延迟来测量全双工语音识别的实时性能。对于我们所有的数据样本,当传播延迟为120秒且丢失率小于0.3%时,以及传播延迟为50秒且丢失率小于0.5%时,该应用程序均具有良好的性能。

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