Title :
An acoustic echo cancellation scheme based on particle swarm optimization algorithm
Author :
Mahbub, Upal ; Acharjee, Partha Pratim ; Fattah, Shaikh Anowarul
Author_Institution :
Dept. of Electr. & Electron. Eng., Bangladesh Univ. of Eng. & Technol., Dhaka, Bangladesh
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 cancellation 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.
Keywords :
adaptive filters; echo suppression; frequency-domain analysis; particle swarm optimisation; speech processing; acoustic echo cancellation scheme; adaptive filter algorithms; coefficient optimization problem; convergence rate; echo return loss enhancement; error minimization; filter coefficient variation; frequency domain; particle swarm optimization algorithm; speech signals; Echo cancellation; adaptive filter; frequency domain optimization; particle swarm optimization algorithm; speech analysis;
Conference_Titel :
TENCON 2010 - 2010 IEEE Region 10 Conference
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4244-6889-8
DOI :
10.1109/TENCON.2010.5686595