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Decay Rate Estimators and Their Performance for Blind Reverberation Time Estimation

机译:衰减率估计器及其在盲混响时间估计中的性能

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Several approaches for blind estimation of reverberation time have been presented in the literature and decay rate estimation is an integral part of many, if not all, of such approaches. This paper provides both an analytical and experimental comparison, in terms of the bias and variance of three common decay rate estimators; a straight-forward linear regression approach as well as two maximum-likelihood based methods. Situations with and without interfering additive noise are considered. It is shown that the linear regression based approach is unbiased if no smoothing is applied, and that the estimation variance in the absence of noise is constantly about twice that of the maximum-likelihood based methods. It is shown that the methods that do not take possible noise into account suffer from similar estimation bias in the presence of noise. Further, a hybrid method, combining the noise robustness and low computational complexity advantages of the two different maximum-likelihood based methods, is presented.
机译:文献中已经提出了几种用于混响时间盲估计的方法,并且衰减率估计是许多(即使不是全部)这种方法的组成部分。本文就三种常见衰减率估计器的偏差和方差提供了分析和实验比较。直接线性回归方法以及两种基于最大似然的方法。考虑有无干扰附加噪声的情况。结果表明,如果不应用平滑,则基于线性回归的方法是无偏的,并且在没有噪声的情况下,估计方差始终是基于最大似然法的估计方差的两倍。结果表明,在存在噪声的情况下,未将可能的噪声考虑在内的方法会遭受类似的估计偏差。此外,提出了一种混合方法,结合了两种不同的基于最大似然法的噪声鲁棒性和低计算复杂度优势。

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