信息与电子工程2011，Vol.9Issue(6)：765-769,781,6.
弱稀疏语音信号的欠定盲分离
Underdetermined blind separation for weak sparse speech signals
和继威 1刘郁林 1王开 1李力2
作者信息
- 1. 重庆通信学院DSP实验室,重庆400035
- 2. 重庆市教育考试院,重庆400035
- 折叠
摘要
Abstract
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 Component Analysis(PCA) on extracted samples. Simulation results show that the proposed method can effectively improve the performance of separated speech signals, and its averaged Signal To Noise Ratio(SNR) is improved by 10 dB compared to K-PCA method.关键词
欠定盲分离/弱稀疏/单源主导区间/W-分离正交性Key words
underdetermined blind separation/weak sparse/single-source dominant area/W-disjoint orthogonality分类
信息技术与安全科学引用本文复制引用
和继威,刘郁林,王开,李力..弱稀疏语音信号的欠定盲分离[J].信息与电子工程,2011,9(6):765-769,781,6.
