Title: Underdetermined Blind Speech Separation Method Under Weak Sparseness
Abstract:This paper proposes a new method based on mixing matrix estimation for underdetermined blind speech separation, aiming at speech signals under weak sparseness.The method detects and esploits time-freq...This paper proposes a new method based on mixing matrix estimation for underdetermined blind speech separation, aiming at speech signals under weak sparseness.The method detects and esploits time-frequency bins with only one source by Principal Component Analysis(PCA) to estimate mixing matrix, it overcomes the shortcoming of weak sparseness of speech signals and improves the estimation precision of mixing matrix.It combines a subspace method to reconstruct the sources to improve the separation performance further.The subspace method is proved from geometric interpretation.Simulation results show the separability of the method is better than Cluster-BSS, and it robustness is better.Read More
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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