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A contingency multi-microphone noise reduction strategy based on linearly constrained Multi-channel Wiener filtering

机译:基于线性约束多通道维纳滤波的应急多麦克风降噪策略

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The Minimum Variance Distortionless Response (MVDR) beam-former is a popular multi-microphone noise reduction and speech enhancement strategy that can be implemented either as a fixed-constraint MVDR beamformer, with a pre-defined Relative Transfer Function (RTF) or based on a Multi-channel Wiener Filter (MWF) estimate. However, each implementation is not fully robust within a dynamic acoustic environment. For instance, performance degradations exist for the fixed-constraint MVDR beamformer when the source is not in the constraint direction and also for the MWF when the estimated RTF is poor. In this paper, we propose a contingency noise reduction strategy that uses a Linearly Constrained MWF (LC-MWF) to combine the positive aspects of both implementations. We proceed to derive the LC-MWF in relation to the MVDR beam-former implementations and demonstrate through simulations that the LC-MWF is indeed an intermediary solution that encompasses a wider range of acoustic conditions.
机译:最小方差无失真响应(MVDR)波束形成器是一种流行的多麦克风降噪和语音增强策略,可以实现为具有预定义的相对传递函数(RTF)的固定约束MVDR波束形成器,也可以基于多通道维纳滤波器(MWF)估计。但是,在动态声学环境中,每种实现方式都不完全可靠。例如,当源不在约束方向上时,固定约束MVDR波束形成器的性能下降,而在估算的RTF较差的情况下,对于MWF也存在性能下降。在本文中,我们提出了一种使用线性约束MWF(LC-MWF)来组合两种实现方式的积极方面的应急降噪策略。我们继续推导与MVDR波束形成器实现相关的LC-MWF,并通过仿真证明LC-MWF确实是一种涵盖了更广泛声学条件的中间解决方案。

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