This work studies a wind noise reduction approach for communication applications in a car environment. An endfire array consisting of two microphones is considered as a substitute for an ordinary cardioid microphone capsule of the same size. Using the decomposition of the multichannel Wiener filter (MWF), a suitable beamformer and a single-channel post filter are derived. Due to the known array geometry and the location of the speech source, assumptions about the signal properties can be made to simplify the MWF beamformer and to estimate the speech and noise power spectral densities required for the post filter. Even for closely spaced microphones, the different signal properties at the microphones can be exploited to achieve a significant reduction of wind noise. The proposed beamformer approach results in an improved speech signal regarding the signal-to-noise-ratio and keeps the linear speech distortion low. The derived post filter shows equal performance compared to known approaches but reduces the effort for noise estimation.

中文翻译：

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汽车环境中密集麦克风阵列的风噪声降低

这项工作研究了一种用于汽车环境中通信应用的风噪声降低方法。由两个麦克风组成的端射阵列被认为是相同尺寸的普通心形麦克风拾音头的替代品。使用多通道维纳滤波器 (MWF) 的分解，推导出合适的波束形成器和单通道后置滤波器。由于已知的阵列几何形状和语音源的位置，可以对信号特性进行假设以简化 MWF 波束形成器并估计后置滤波器所需的语音和噪声功率谱密度。即使对于间隔很近的麦克风，也可以利用麦克风处的不同信号特性来显着降低风噪声。所提出的波束形成器方法可在信噪比方面改善语音信号，并保持低线性语音失真。与已知方法相比，导出的后置滤波器表现出相同的性能，但减少了噪声估计的工作量。