Microphone array speech enhancement in overdetermined signal scenarios

Raymond E. Slyh, R. Moses
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引用次数: 4

Abstract

The problem of enhancing noisy speech by using a microphone array is considered. An algorithm called the graphic equalizer (GEQ) array is presented which trades off signal degradation for additional interference suppression. The algorithm is based on the concept of directly modifying the short-time spectral magnitude of the sum of the received signals. Simulation results are given that illustrate the advantages of using the GEQ array for diffuse-noise scenarios and for scenarios involving more interference signals than array degrees of freedom. The GEQ array was shown to outperform the Frost array for diffuse-noise and overdetermined signal scenarios, in which the Frost array was not capable of attenuating all of the interference with one broad null. While the GEQ array did not always yield a better SNR than the Frost array for these scenarios, it often outperformed the Frost array in terms of the power function spectral distance measure, a measure that is more highly correlated with human auditory perception than is the SNR.<>
超定信号场景下的麦克风阵列语音增强
研究了利用麦克风阵列增强噪声语音的问题。提出了一种图形均衡器(GEQ)阵列算法,该算法以信号退化为代价进行额外的干扰抑制。该算法基于直接修改接收信号和的短时谱幅值的概念。仿真结果说明了使用GEQ阵列在扩散噪声场景和涉及比阵列自由度更多的干扰信号的场景中的优势。GEQ阵列在扩散噪声和过定信号情况下优于Frost阵列,在这种情况下,Frost阵列不能用一个宽零值衰减所有干扰。虽然GEQ阵列在这些情况下并不总是比Frost阵列产生更好的信噪比,但在幂函数谱距离测量方面,它通常优于Frost阵列,这是一种与人类听觉感知高度相关的测量,而不是信噪比。
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