A blind separation algorithm based on WVD and JADE for speech signal

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.