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.
欧世峰;赵晓晖;顾海军. 改进的基于信号子空间的多通道语音增强算法[J]. 电子学报, 2005, 33(10): 1786-1789.
OU Shi-feng;ZHAO Xiao-hui;GU Hai-jun. An Improved Speech Enhancement Approach Based on Signal Subspace with Multi-Input. Chinese Journal of Electronics, 2005, 33(10): 1786-1789.
2005, Vol. 33 
