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Voice Quality Management for IP Networks Based on Automatic Change Detection of Monitoring Data

机译:基于监控数据自动检测的IP网络语音质量管理

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摘要

Recently, quality management of IP networks has become an important issue with the development of real-time applications such as IP-phones, TV-conferencing and video-streaming. Specifically, when voice data is mixed with various application data, there are worries that there will be a critical degradation in voice quality. In current management of voice quality, the general scheme is to monitor the voice quality using a preset threshold for the data. However, it's not easy to set a proper threshold for data monitoring in each case, because the characteristics of the monitoring data become more diverse as networks become larger in scale and more complex. We propose an automatic change detection scheme that detects changes in the behavior of the monitoring data with changes in the traffic conditions, without any preset threshold. The essential concept of our scheme is the application of a statistical scheme to sequential data monitoring. We also demonstrate the effectiveness of our proposed scheme when applied to voice quality management.
机译:最近,随着诸如IP电话,电视会议和视频流等实时应用的发展,IP网络的质量管理已成为一个重要的问题。具体地,当语音数据与各种应用数据混合时,担心语音质量将严重下降。在当前的语音质量管理中,一般的方案是使用针对数据的预设阈值来监视语音质量。但是,在每种情况下都难以为数据监视设置合适的阈值,因为随着网络规模的扩大和复杂性的提高,监视数据的特性也将变得更加多样化。我们提出了一种自动更改检测方案,该方案可以检测到随交通状况变化而变化的监视数据行为,而无需任何预设阈值。我们的方案的基本概念是将统计方案应用于顺序数据监视。当应用于语音质量管理时,我们还证明了我们提出的方案的有效性。

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