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TWO TYPE MEASUREMENTS FOR REVERBERATION TIME OF NOISY ACOUSTIC ROOM BASED ON THE DIFFERENCE OF STATE EQUATION AND ESTIMATION METHOD

机译:基于状态方程和估计方法差异的噪声声学室的混响时间两种型测量

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In this report, first, we consider how to illustrate the effect of background noise to the measurement of room acoustics under a background noise of arbitrary distribution type. Two kinds of estimation methods are proposed to evaluate a proper reverberation time of a room by observing real unrefined decay curves, which can not realize smoothly a sufficient decay of 60 dB under a contamination of background noise. In the first method, an observation equation is derived from a stochastic model by means of well-known Sabine's differential equation, which is approximately rewritten in a matched form of difference equation especially to preserve its original linearity on the reverberation parameter. The effect of background noise is eliminated by employing a generalized state estimation algorithm based on Bayes' theorem. In the second one, after reflecting the effects of background noise together in an observation equation of a measuring model, a well-known mutual information criterion is introduced to estimate a reverberation time based on the independent property between signal and background noise. Finally, the effectiveness of the proposed methods are experimentally confirmed too by applying it to the actual measurement of a reverberation time in the actual living situation of room contaminated by a background noise.
机译:在本报告中,首先,我们考虑如何在任意分布类型的背景噪声下说明背景噪声对房间声学的测量。提出了两种估计方法来通过观察真正的未精制衰减曲线来评估房间的适当混响时间,这不能在污染背景噪声下平滑地实现60 dB的足够衰减。在第一种方法中,观察方程通过众所周知的Sabine的微分方程从随机模型导出,这在匹配形式的差分方程中近似被重写,特别是在混响参数上保留其原始线性度。通过采用基于贝叶斯定理的广义状态估计算法消除了背景噪声的效果。在第二个之后,在测量模型的观察方程中反映背景噪声的效果之后,引入了众所周知的互信息标准,以估计基于信号和背景噪声之间的独立特性的混响时间。最后,通过将其应用于背景噪声污染的房间的实际生活状况的实际测量来实验证实了所提出的方法的有效性。

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