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Performance analyze of QoE-based speech quality evaluation model

机译:基于QoE的语音质量评估模型的性能分析

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In this paper, we analyze three QoE-based speech quality evaluation models: PESQ, NPESQ and POLQA models. PESQ (Perceptual evaluation of speech quality) is a well known objective speech quality assessment method for speech QoE evaluation. It is formed as the ITU-T P.862 Recommendations. NPESQ (New Perceptual Evaluation of Speech Quality) model is a new objective QoE model on evaluating the speech quality of multimedia communication system. It is an improved model of PESQ. POLQA (Perceptual objective listening quality assessment) is a successor of PESQ; it is approved as ITU-T P.863 Recommendations. In order to get which model is best, this paper undertakes performance comparative analysis of NPESQ, PESQ and POLQA models. Accuracy, consistency and linearity are chosen as performance metric. Through comparing the result of subjective test and three objective tests, we can conclude that, the accuracy of POLQA model is the best; and NPESQ model maintains the best consistency and linearity with subjective test.
机译:在本文中,我们分析了三种基于QoE的语音质量评估模型:PESQ,NPESQ和POLQA模型。 PESQ(语音质量的感知评估)是一种用于语音QoE评估的众所周知的客观语音质量评估方法。它是根据ITU-T P.862建议书形成的。 NPESQ(语音质量的新感知评估)模型是一种新的客观QoE模型,用于评估多媒体通信系统的语音质量。它是PESQ的改进模型。 POLQA(感知客观听觉质量评估)是PESQ的后继产品;它被批准为ITU-T P.863建议书。为了获得最佳模型,本文对NPESQ,PESQ和POLQA模型进行了性能比较分析。选择精度,一致性和线性度作为性能指标。通过比较主观测试和三个客观测试的结果,可以得出结论,POLQA模型的准确性是最好的。 NPESQ模型通过主观测试保持最佳一致性和线性。

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