A Blind Separation Algorithm Based on WVD and JADE for Speech Signal

摘要：

The traditional blind source separation algorithm of speech requests non-Gaussian, stable and independent speech signals, however, the actual speech signals are not ideal. A blind separation algorithm based on Wigner-Ville is proposed, first pre-white the mix speech signals, and then compute the Wigner-Ville Distribution matrix, finally estimate source speech signals by joint diagonalization algorithm. Simulation results show that the actual non-stable speech signals can be separated well using the proposed algorithm, even in noise environment that the SNR is below 20dB.

关键词： Wigner-Ville Distribution blind source separation non-stationary signal joint diagonalization algorithm

作者: Wang Yu-jing YU Feng-qin

作者单位: School of Internet of Things Engineering, Jiangnan University Wuxi, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 6-9

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）