Adaptive algorithms for double-talk echo cancelling

Author

Homana, Ioana ; Topa, Marina ; Kirei, Botond Sandor ; Contan, Cristian

Author_Institution

Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania

fYear

2010

fDate

11-12 Nov. 2010

Firstpage

349

Lastpage

352

Abstract

In the paper, an echo canceller based on a system identification scheme with adaptive algorithms is presented. The algorithms consider FIR filters with the taps chosen to minimize an error signal derived from the system according to a stochastic gradient-based method. The following adaptive filters are discussed and simulated in Matlab: classical LMS and its variants: NLMS, VSLMS, VSNLMS and RLS. The echo was simulated by adding several delayed and attenuated replica to a vocal input. The comparison between the algorithms was made taking into account the mean-square error (MSE) and average attenuation (AV), as well as the required number of multiplications.

Keywords

FIR filters; acoustic signal processing; adaptive filters; crosstalk; echo suppression; gradient methods; least mean squares methods; stochastic processes; FIR filters; LMS; adaptive algorithms; adaptive filters; average attenuation; double-talk echo cancellation; mean square error method; stochastic gradient-based method; Adaptive filters; Convergence; Echo cancellers; Microphones; Signal processing algorithms; Speech; adaptive algorithm; double-talk detection; echo cancellation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Telecommunications (ISETC), 2010 9th International Symposium on

Conference_Location

Timisoara

Print_ISBN

978-1-4244-8457-7

Type

conf

DOI

10.1109/ISETC.2010.5679359

Filename

5679359