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Average output SNR of the multichannel Wiener filter using statistical room acoustics

机译:使用统计室声学的MultiShannel Wiener滤波器的平均输出SNR

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The performance of the multi-channel Wiener filter (MWF), which is often used for noise reduction in speech enhancement applications, depends on the noise field and on the acoustic transfer functions (ATFs) between the desired source and the microphone array. Recently, using statistical room acoustics an analytical expression for the spatially averaged output SNR, given the relative distance between the source and the microphone array, has been derived for the MWF in a diffuse noise field, requiring only the room properties to be known. In this paper, we show that this analytical expression can be extended to compute the average output SNR of the MWF for a specific microphone configuration, enabling to compare the performance of different microphone configurations, e.g. in an acoustic sensor network. Simulation results show that the average output SNR obtained using the statistical properties of ATFs is similar to the average output SNR obtained using simulated ATFs, therefore providing an efficient way to compare different microphone configurations.
机译:多通道维纳滤波器(MWF)的性能通常用于语音增强应用中的降噪,取决于所需源和麦克风阵列之间的噪声场和声学传递函数(ATF)。最近,使用统计平均输出SNR的分析表达式,给定源极和麦克风阵列之间的相对距离,已经为漫射噪声场中的MWF导出,仅需要公知的房间属性。在本文中,我们表明,可以扩展该分析表达式以计算特定麦克风配置的MWF的平均输出SNR,从而能够比较不同麦克风配置的性能,例如,在声学传感器网络中。仿真结果表明,使用ATF的统计特性获得的平均输出SNR类似于使用模拟ATF获得的平均输出SNR,因此提供了一种比较不同麦克风配置的有效方法。

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