An Insight Into the Rise Time of Exponential Smoothing for Speech Enhancement Methods

S. Low
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Abstract

Exponential smoothing is a widely used averaging function to estimate the speech and noise statistics. However, the setting of the smoothing constant has been inconsistent or to a certain extent arbitrarily set. This paper aims to fill the gap by formulating the smoothing constant as a function of rise time to better reflect the variability of the signal to be smoothed. Experimental results with real world noise reveal that the performance is very sensitive to the rise time of the short term averaging function, whilst less so for the longer term averaging function. The results provide a guideline for speech enhancement methods to set the smoothing constant for the estimation of speech and noise statistics.
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语音增强方法中指数平滑上升时间的研究
指数平滑是一种广泛应用于语音和噪声统计估计的平均函数。然而,平滑常数的设置一直不一致或在一定程度上任意设置。本文旨在通过将平滑常数表述为上升时间的函数来填补这一空白,以更好地反映待平滑信号的可变性。实际噪声条件下的实验结果表明,该算法对短期平均函数的上升时间非常敏感,而对长期平均函数的上升时间则不太敏感。研究结果为语音增强方法设置平滑常数以估计语音和噪声统计量提供了指导。
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