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Parametric Models for Speech Quality Estimation in GSM Networks

机译:GSM网络中语音质量估计的参数模型

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Speech quality assessment is an emergent QoS aspect in cellular network monitoring. This contribution deals with the estimation of perceived speech quality in GSM networks, by means of parametric models. Our goal is to provide a model for MOS estimation, based on parameters available in the Operation and Maintenance Centre (OMC) and in the measurement reports from mobile stations. Specifically, based on MOS values from a large database obtained performing intrusive tests in a real GSM network, and on the correspondent measured transmission parameters, an extensive data analysis has been conducted. The correlation coefficients of GSM parameters with the objective speech quality have been then maximized, and a simple linear model has been proposed. Moreover, handover events have been considered and their impact on perceived speech quality has been proved.
机译:语音质量评估是蜂窝网络监测中的紧急QoS方面。通过参数模型,该贡献涉及GSM网络中的感知语音质量。我们的目标是根据操作和维护中心(OMC)中可用的参数以及来自移动站的测量报告的参数提供MOS估计的模型。具体地,基于来自在真实GSM网络中执行侵入性测试的大型数据库的MOS值,并且在对应的测量传输参数上,已经进行了广泛的数据分析。然后,已经最大化了GSM参数的GSM参数的相关系数,并且已经提出了一种简单的线性模型。此外,已经考虑了切换事件,并证明了它们对感知语音质量的影响。

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