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Estimating sound source depth using a small-size array

机译:使用小型阵列估算声源深度

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摘要

A method for estimating the sound source depth, i.e., the distance between a source and receiver, using a small-size array is proposed. The proposed method uses the spatial distribution pattern of quasi-independent signal components obtained by the frequency-domain independent component analysis (FDICA) as the cue for depth estimation. The quasi-independent components are calculated by applying FDICA to array signals with very high redundancy, for example, 60 microphone signals for a pair of sources; therefore, signal components associated with reflection signals are obtained even though they are correlated with the direct signal. Experimental evaluation using a small-size microphone array with a large number of elements confirms that the average (RMS) estimation error of the proposed method is 0.33 m, which is sufficiently accurate for our applications.
机译:提出了一种使用小尺寸阵列来估计声源深度(即,声源与接收器之间的距离)的方法。所提出的方法使用通过频域独立分量分析(FDICA)获得的准独立信号分量的空间分布模式作为深度估计的线索。通过将FDICA应用于具有很高冗余度的阵列信号(例如,一对信号源的60个麦克风信号)来计算准独立分量。因此,即使反射信号与直接信号相关,也可以获得与反射信号相关的信号分量。使用具有大量元素的小尺寸麦克风阵列进行的实验评估证实,所提出方法的平均(RMS)估计误差为0.33 m,对于我们的应用而言足够准确。

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