Partial separation method for solving permutation problem in frequency domain blind source separation of speech signals
Reju, Vaninirappuputhenpurayil Gopalan
Koh, Soo Ngee
Soon, Ing Yann
Date of Issue2008
School of Electrical and Electronic Engineering
This paper addresses the well known permutation problem in frequency domain blind source separation. The proposed method uses correlation between two signals in each DFT bin to solve the permutation problem. One of the signals is partially separated by a time domain blind source separation method and the other is obtained by the frequency domain blind source separation method. Two different ways of configuring the time and frequency domain blocks, i.e., in parallel or cascade, have been studied. The cascaded configuration not only achieves a better separation performance but also reduces the computational cost as compared to the parallel configuration.
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
© 2008 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Neurocomputing, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [DOI: http://dx.doi.org/10.1016/j.neucom.2007.08.030].