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Understanding Signal-Based Speech Quality Prediction in Future Mobile Communications

机译:了解未来移动通信中基于信号的语音质量预测

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Speech quality in Next Generation Mobile Networks (NGMN) is critical. Accordingly, we analyze in this paper, how the quality estimation provided by wideband PESQ, a signal-based speech quality prediction model, differs from the user perception. We find that the model underestimates the auditory quality in certain NGMN conditions: 1) wideband-narrowband speech codec switching, 2) speech signal fading during codec switching, and 3) talk-spurt internal time-shifting due to jitter buffer instability. By pointing out the impact of these degradations on the speech signal, this paper contributes to potential improvements and adaptation of the wideband PESQ model for NGMNs.
机译:下一代移动网络(NGMN)中的语音质量至关重要。因此,我们在本文中分析,如何通过宽带PESQ,基于信号的语音预测模型提供的质量估计与用户感知不同。我们发现该模型低估了某些NGMN条件下的听觉质量:1)宽带窄带语音编解码器切换,2)在编解码器切换期间衰落,3)由于抖动缓冲器不稳定性而导致的谈话刺激内部时间移位。通过指出这些降解对语音信号的影响,本文有助于NGMNS宽带PESQ模型的潜在改进和调整。

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