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

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2 Author(s)
Wang Yu-jing ; Sch. of Internet of Things Eng., Jiangnan Univ., Wuxi, China ; Yu Feng-qin

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.

Published in:

Image and Signal Processing (CISP), 2011 4th International Congress on  (Volume:1 )

Date of Conference:

15-17 Oct. 2011