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Musical noise controllable algorithm of channelwise spectral subtraction and beamforming based on higher-order statistics criterion

机译:基于高阶统计准则的声道谱减和波束成形音乐噪声可控算法

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In this paper, we propose a musical-noise-controllable algorithm for array signal processing with the aim for high-performance and high-quality noise reduction. Recently, many methods of integrating linear microphone array signal processing and nonlinear signal processing for noise reduction have been studied, but these methods often suffer from the problem of musical noise. In the proposed algorithm, channelwise spectral subtraction is applied before adaptive array signal processing. We also introduce a new automatic control algorithm to obtain the subtraction strength parameter used in the spectral subtraction, which depends on the amount of generated musical noise, measured by higher-order statistics. We confirm the effectiveness of the proposed algorithm via objective and subjective evaluations.
机译:在本文中,我们提出了一种音乐噪声可控制的算法,用于阵列信号处理,旨在实现高性能和高质量的降噪。近来,已经研究了将线性麦克风阵列信号处理和非线性信号处理相集成以降低噪声的许多方法,但是这些方法经常遭受音乐噪声的问题。在所提出的算法中,在自适应阵列信号处理之前应用了逐通道频谱减法。我们还引入了一种新的自动控制算法,以获取频谱减法中使用的减法强度参数,该参数取决于通过高阶统计量测得的音乐噪声的产生量。我们通过客观和主观评估来确认所提出算法的有效性。

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