By Topic

An expectation-maximization method for the permutation problem in frequency-domain blind source separation

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
$31 $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)
Thom-Thi Ngo ; Dept. of Electron. Eng., Paichai Univ., Daejeon, South Korea ; Seung-Hyon Nam

This paper describes a new method for solving the permutation problem in frequency-domain blind source separation (FDBSS). The permutation problem in FDBSS is the well-known order-changing problem of separating spectra, which is caused by the independent separating process in each frequency bin. The new solution is based on the expectation-maximization (EM) technique applied to phases of inverse separating filters. The EM algorithm treats spatial aliasing implicitly and exploits statistics of a room environment embedded in the inverse of separating filters. As a result, it provides more robust performance than other existing methods based on source directions. In addition, it does not require any knowledge of the microphone geometry. Experimental results in reverberant environments demonstrate good performance of the proposed method.

Published in:

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Date of Conference:

14-19 March 2010