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Author Mahbub, U. ♦ Acharjee, P.P. ♦ Fattah, S.A.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Echo cancellers ♦ Frequency domain analysis ♦ Speech ♦ Least squares approximation ♦ Optimization ♦ Delay ♦ frequency domain optimization ♦ Echo cancellation ♦ adaptive filter ♦ particle swarm optimization algorithm ♦ speech analysis
Abstract This paper deals with the problem of echo cancellation of speech signals in an acoustic environment. In this regard, generally, different adaptive filter algorithms are employed, which may lack the flexibility of controlling the convergence rate, number of iterations, range of variation of filter coefficients, and tolerance consistency. In order to overcome these problems, unlike conventional approaches, we formulate the task of echo cancelation as a coefficient optimization problem whereby we introduce the particle swarm optimization (PSO) algorithm. In this case, the PSO is designed to perform the error minimization in frequency domain. From extensive experimentations, it is shown that the proposed PSO based acoustic echo cancellation method provides high echo cancellation performance in terms of echo return loss enhancement with a faster convergence rate in comparison to that obtained by some of the state-of-the-art methods.
Description Author affiliation: Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh (Mahbub, U.; Acharjee, P.P.; Fattah, S.A.)
ISBN 9781424468898
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-11-21
Publisher Place Japan
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424468904
Size (in Bytes) 334.47 kB
Page Count 4
Starting Page 759
Ending Page 762


Source: IEEE Xplore Digital Library