Speech Enhancement with Generalized Sidelobe Canceller Based on a Coherence-based Filter for Small Microphone Arrays
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摘要: 为了克服传统麦克风小阵列语音增强算法噪音抑制能力有限的问题，该文提出一种基于相干性滤波器的广义旁瓣抵消器语音增强算法, 该算法基于动态平滑系数噪声谱估计来获得相干性滤波器，分别对每个阵元接收到的信号进行滤波用以抑制包括混响等噪声信号的干扰，并把滤波后的信号作为输入信号，使用基于小阵列的广义旁瓣抵消器波束形成算法抑制残余噪声信号的干扰。模拟和实际试验表明，该文提出的算法明显优于单独使用小阵列波束形成算法和相干性滤波器算法。Abstract: In order to overcome the problem that the noise suppression ability of traditional small microphone arrays speech enhancement algorithm is limited, this paper proposes coherence spectral estimation based on the variable coefficients noise filter algorithm to suppress the reverberant interference, and then use the Generalized Sidelobe Canceler (GSC) which based on small microphone arrays canceller to suppress remaining noise and simulations and practical tests show that the proposed algorithm is superior to separate small array beamforming algorithms and coherence filter algorithm.
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