弱稀疏语音信号的欠定盲分离

为解决弱稀疏语音信号的欠定盲分离问题,根据语音信号的部分W-分离正交性,提出一种基于单源主导区间的混合矩阵盲估计方法。该方法根据单源主导区间的性质,通过二元行矢量提取单源观测样本,对单源观测样本进行K均值聚类和主成分分析来估计混合矩阵。仿真结果表明,提出的方法可有效提高分离语音的性能,与直接利用K-PCA方法相比,分离语音的平均信噪比提高了10 dB左右。

Underdetermined blind separation for weak sparse speech signals

In order to solve the problem of underdetermined blind speech separation for weak sparse speech signals,according to the partial approximate W-disjoint orthogonality of weak sparse speech signals,a blind mixing matrix estimation method is proposed based on single-source dominated areas.In this method,according to the property of the single-source dominant areas,single-source observational samples are extracted by a binary row vector;then the mixing matrix is estimated by K means clustering and Principal Com...