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首页> 外文会议>2016 IEEE International Workshop on Acoustic Signal Enhancement >Recursive implementations of informed spatial filters
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Recursive implementations of informed spatial filters

机译：信息空间过滤器的递归实现

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摘要

Informed spatial filters (ISFs) have been shown to provide high-quality speech acquisition in dynamic scenarios due to their ability to almost instantaneously adapt the filter coefficients based on the statistics of the desired and undesired signals. In most contributions, ISFs have been implemented in closed form as minimum variance distortionless response (MVDR), or minimum-mean-squared error filters. The goal in this paper is to discuss and evaluate recursive implementations of ISFs. We show that the implementations in a generalized sidelobe canceller (GSC) structure are not equivalent to the closed form MVDR, due to the fact that the filter coefficients of both implementations are updated at each time-frequency bin. The complexity of the implementations is discussed and experimental evaluation is performed for different dynamic scenarios where the goal is to extract a desired speaker in the presence of interfering speakers.
机译：消息灵通的空间滤波器（ISF）已被证明可以在动态场景中提供高质量的语音采集，这是因为它们具有基于所需信号和不期望信号的统计信息几乎即时适应滤波器系数的能力。在大多数贡献中，ISF已以封闭形式实现为最小方差无失真响应（MVDR）或最小均方误差滤波器。本文的目的是讨论和评估ISF的递归实现。我们表明，由于在每个时频bin处更新了两种实现的滤波器系数，因此广义旁瓣抵消器（GSC）结构中的实现不等同于闭式MVDR。讨论了实现的复杂性，并针对不同的动态场景进行了实验评估，这些动态场景的目标是在存在干扰说话者的情况下提取所需的说话者。

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