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Novel GCC-PHAT model in diffuse sound field for microphone array pairwise distance based calibration

机译:基于弥散声场的新型GCC-PHAT模型,用于基于麦克风阵列成对距离的校准

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We propose a novel formulation of the generalized cross correlation with phase transform (GCC-PHAT) for a pair of microphones in diffuse sound field. This formulation elucidates the links between the microphone distances and the GCC-PHAT output. Hence, it leads to a new model that enables estimation of the pairwise distances by optimizing over the distances best matching the GCC-PHAT observations. Furthermore, the relation of this model to the coherence function is elaborated along with the dependency on the signal bandwidth. The experiments conducted on real data recordings demonstrate the theories and support the effectiveness of the proposed method.
机译:我们为弥散声场中的一对麦克风提出了一种具有相位变换的广义互相关的新公式(GCC-PHAT)。该公式阐明了麦克风距离与GCC-PHAT输出之间的联系。因此,它导致了一个新模型,该模型能够通过在最匹配GCC-PHAT观测值的距离上进行优化来估计成对距离。此外,还详细说明了该模型与相干函数的关系以及对信号带宽的依赖性。在真实数据记录上进行的实验证明了该理论,并支持了该方法的有效性。

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