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An Improved Speech Enhancement Method Based on SVD
一种改进的奇异值分解语音增强方法

Keywords: Speech enhancement,Jacobi Singular Value Decomposition(SVD),Beamforming
语音增强
,雅克比奇异值分解,波束形成,改进,奇异值分解,增强方法,Based,Method,Speech,Enhancement,语音质量,改善,加性噪声,仿真结果,语音信号,波束形成,麦克风阵列,权矢量,滤波器,构造,雅克比,矩阵,输入,语音增强

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Abstract:

This paper applies the microphone array speech enhancement method to the single microphone speech enhancement method, and proposes a new speech enhancement method based on Singular Value Decomposition(SVD). First, for the input matrix, the method adopts Jacobi singular value decomposition to get the singular value vector as the speech enhancement filter. Then the method multiplies the input matrix and the coefficient matrix of the filter to constitute the so called each channel signals. Finally, the method adopts microphone array beamforming method to gain the enhanced speech. The simulation shows that the proposed method can get rid of the addictive noise very well, and improve the speech quality.

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