By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yu-jing Wang ; School of Internet of Things Engineering, Jiangnan University, Wuxi, China ; Feng-qin Yu

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