Signal enhancement using beamforming and nonstationarity with applications to speech
Signal enhancement using beamforming and nonstationarity with applications to speech
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DOI：
10.1109/78.934132
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发表时间：
2001-08
期刊：
影响因子：
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通讯作者：
S. Gannot;D. Burshtein;E. Weinstein
中科院分区：
文献类型：
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作者：
S. Gannot;D. Burshtein;E. Weinstein
我们考虑一个传感器阵列位于一个封闭的，其中任意传递函数（TF）的源信号和传感器。该阵列用于增强被干扰污染的信号。Frost（1972）提出的约束最小功率自适应波束形成技术，特别是Griffiths和Jim（1982）提出的广义旁瓣消除器（GSC），是目前应用最广泛的波束形成技术。这些方法依赖于接收信号是源信号的简单延迟版本的假设。在复杂的声学环境中，可能会遇到任意的TF，在这种假设下获得的良好的干扰抑制严重受损。在本文中，我们考虑任意TF情况。我们提出了一个GSC的解决方案，这是适应一般TF的情况下。我们推导出一个次优算法，可以通过估计的TF的比率，而不是估计的TF。利用期望信号的非平稳特性估计TF比。将该算法应用于混响室中的语音增强问题。讨论支持的实验研究，使用语音和噪声信号记录在一个实际的室内声学环境。
We consider a sensor array located in an enclosure, where arbitrary transfer functions (TFs) relate the source signal and the sensors. The array is used for enhancing a signal contaminated by interference. Constrained minimum power adaptive beamforming, which has been suggested by Frost (1972) and, in particular, the generalized sidelobe canceler (GSC) version, which has been developed by Griffiths and Jim (1982), are the most widely used beamforming techniques. These methods rely on the assumption that the received signals are simple delayed versions of the source signal. The good interference suppression attained under this assumption is severely impaired in complicated acoustic environments, where arbitrary TFs may be encountered. In this paper, we consider the arbitrary TF case. We propose a GSC solution, which is adapted to the general TF case. We derive a suboptimal algorithm that can be implemented by estimating the TFs ratios, instead of estimating the TFs. The TF ratios are estimated by exploiting the nonstationarity characteristics of the desired signal. The algorithm is applied to the problem of speech enhancement in a reverberating room. The discussion is supported by an experimental study using speech and noise signals recorded in an actual room acoustics environment.