Distributed GSC beamforming using the relative transfer function

S. M. Golan, S. Gannot, I. Cohen
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引用次数: 17

Abstract

A speech enhancement algorithm in a noisy and reverberant enclosure for a wireless acoustic sensor network (WASN) is derived. The proposed algorithm is structured as a two stage beamformers (BFs) scheme, where the outputs of the first stage are transmitted in the network. Designing the second stage BF requires estimating the desired signal components at the transmitted signals. The contribution here is twofold. First, in spatially static scenarios, the first stage BFs are designed to maintain a fixed response towards the desired signal. As opposed to competing algorithms, where the response changes and repeated estimation thereof is required. Second, the proposed algorithm is implemented in a generalized side-lobe canceler (GSC) form, separating the treatment of the desired speech and the interferences and enabling a simple time-recursive implementation of the algorithm. A comprehensive experimental study demonstrates the equivalent performance of the centralized GSC and of the proposed algorithm for both narrowband and speech signals.
利用相对传递函数的分布式GSC波束形成
提出了一种无线声传感器网络在噪声和混响环境下的语音增强算法。提出的算法结构为两级波束形成方案,其中第一级的输出在网络中传输。二级BF的设计需要对传输信号中期望的信号分量进行估计。这里的贡献是双重的。首先,在空间静态场景中,第一级bf被设计成对期望信号保持固定响应。与竞争算法相反,其中响应变化和重复估计是必需的。其次,提出的算法以广义旁瓣消除(GSC)形式实现,将所需语音和干扰的处理分开,并使算法的简单时间递归实现。一项全面的实验研究证明了集中式GSC和所提出的算法在窄带和语音信号上的等效性能。
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