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首页> 外文期刊>The Journal of the Acoustical Society of America >A cross-spectrum weighting algorithm for speech enhancement and array processing: Combining phase-shift information and stationary signal properties
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A cross-spectrum weighting algorithm for speech enhancement and array processing: Combining phase-shift information and stationary signal properties

机译:用于语音增强和阵列处理的跨谱加权算法:相移信息和平稳信号属性的组合

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摘要

In this paper, a gain function for noise cancellation with a two-channel microphone array is presented. This gain function combines ideas from one- and multichannel algorithms. It is developed using a minimum mean square error estimator for the amplitude of the speech signal from the cross spectrum between two microphone signals. To consider speech pauses and the absence of spectral components of the speech, an extension of this gain function is presented. The performance of the overall gain function is shown in terms of the cancellation of (diffuse) driving noise as well as the cancellation of an interfering speech signal, both recorded in a car. (c) 2006 Acoustical Society of America.
机译:在本文中,提出了一种用于消除两通道麦克风阵列噪声的增益函数。该增益函数结合了单通道和多通道算法的思想。它是使用最小均方误差估计器针对来自两个麦克风信号之间的互谱的语音信号幅度而开发的。为了考虑语音停顿和语音频谱成分的缺失,提出了该增益函数的扩展。总体增益函数的性能以消除(弥散)行驶噪声以及消除干扰语音信号的方式显示,两者均记录在汽车中。 (c)2006年美国声学学会。

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