【摘要】 通过同时对角化麦克风阵列接收信号中语音信号和噪声信号的全局协方差矩阵,本文改进了一种基于信号子空间分解的多通道语音增强算法.该算法不依赖任何信号模型且无需对噪声信号的统计特性进行任何先验假定,它弥补了原始算法只限于白噪声背景下语音增强的不足,实现了色噪声背景下语音信号的最优估计.仿真结果表明本文算法在主观和客观测试中都具有良好的语音增强效果.更多还原

【Abstract】 Through simultaneous diagonalization of the overall covariance matrices of clean speech and noise signal observed by microphone array,an improved speech enhancement algorithm based on signal subspace is presented.It estimates clean speech signal subspace without any preassumption on the stochastic property of noise signal.The proposed method does not rely on any signal model and efficiently attains the optimal estimation of speech corrupted by colored noise,which overcomes the disadvantage of original method only suitable for white noise.Simulation results demonstrate that the algorithm possesses good performance both in objective and subjective tests.更多还原