Advances In Modern Blind Signal Separation Algorithms

by Kostas Kokkinakis, Philip Loizou, Andreas Spanias

Overview

This booklet investigates one of the most commercially attractive applications of Blind Signal Separation (BSS), which is the simultaneous recovery of signals inside a reverberant (naturally echoing) environment, using two (or more) microphones. In this paradigm, each microphone captures not only the direct contributions from each source, but also several reflected copies of the original signals at different propagation delays. These recordings are referred to as the convolutive mixtures of the original sources. The goal of this booklet in the lecture series is to provide insight on recent advances in algorithms, which are ideally suited for blind signal separation of convolutive speech mixtures. More importantly, specific emphasis is given in practical applications of the developed BSS algorithms associated with real-life scenarios.

The developed algorithms are put in the context of modern DSP devices, such as hearing aids and cochlear implants, where design requirements dictate low power consumption and call for portability and compact size. Along these lines, this booklet focuses on modern BSS algorithms which address (1) the limited amount of processing power and (2) the small number of microphones available to the end-user.

Table of Contents: Fundamentals of blind signal separation / Modern blind signal separation algorithms / Application of blind signal processing strategies to noise reduction for the hearing-impaired / Conclusions and future challenges / Bibliography

Product Details

ISBN-13:	9781608451067
Publisher:	Morgan and Claypool Publishers
Publication date:	03/01/2010
Series:	Synthesis Lectures on Algorithms and Software in Engineering Series
Pages:	102
Product dimensions:	7.50(w) x 9.25(h) x 0.21(d)