Performance analysis of single channel blind source separation

Authors:
Bin Gao;W. L. Woo;S. S. Dlay
Affiliations:
School of Electrical, Electronic and Computer Engineering, University of Newcastle, Newcastle, United Kindom;School of Electrical, Electronic and Computer Engineering, University of Newcastle, Newcastle, United Kindom;School of Electrical, Electronic and Computer Engineering, University of Newcastle, Newcastle, United Kindom
Venue:
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2008

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Abstract

Blind source separation is an advanced statistical tool that has found widespread use in many signal processing applications. The main idea to single channel blind source separation is based on exploiting the inherent time structure of sources known as basis filters in time domain that encode the sources in a statistically efficient manner. This paper is focused on the analysis of separation results by exploiting one channel recording of real time speech and music signals.