RTF-steered Binaural MVDR Beamforming Incorporating an External Microphone for Dynamic Acoustic Scenarios
RTF-steered Binaural MVDR Beamforming Incorporating an External Microphone for Dynamic Acoustic Scenarios
复制标题
RTF 控制的双耳 MVDR 波束成形结合了外部麦克风，适用于动态声学场景
DOI：
10.1109/icassp.2019.8683194
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
S. Doclo
中科院分区：
文献类型：
--
作者：
N. Gößling;S. Doclo
一种著名的双耳降噪算法是双耳最小方差无失真响应波束形成器，它可以使用期望信号源的相对传递函数(RTF)向量来控制。在本文中，我们考虑了最近提出的空间相干(SC)方法来估计RTF矢量，该方法需要额外的外部麦克风，该外部麦克风在空间上与头盔麦克风分开。虽然SC方法提供了头戴式麦克风和外部麦克风之间的RTF的有偏估计，但我们表明这种偏差是实值的，并且仅取决于外部麦克风中的SNR。我们建议使用SC方法来估计扩展的RTF向量，该扩展RTF向量也结合了外部麦克风，使得能够与头戴式麦克风一起过滤外部麦克风信号。对弥散噪声中运动说话人记录信号的评价结果表明，SC方法的性能略好于广泛使用的协方差白化方法，但计算复杂度要低得多。
A well-known binaural noise reduction algorithm is the binaural minimum variance distortionless response beamformer, which can be steered using the relative transfer function (RTF) vectors of the desired source. In this paper, we consider the recently proposed spatial coherence (SC) method to estimate the RTF vectors, requiring an additional external microphone that is spatially separated from the head-mounted microphones. Although the SC method provides a biased estimate of the RTF between the head-mounted microphones and the external microphone, we show that this bias is real-valued and only depends on the SNR in the external microphone. We propose to use the SC method to estimate the extended RTF vectors that also incorporate the external microphone, enabling to filter the external microphone signal in conjunction with the head-mounted microphones. Evaluation results using recorded signals of a moving speaker in diffuse noise show that the SC method yields a slightly better performance than the widely used covariance whitening method at a much lower computational complexity.
影响因子：
14.9
作者：
Doclo, Simon;Kellermann, Walter;Nordholm, Sven
通讯作者：
Nordholm, Sven