A variable step-size-based ICA method for a fast and robust acoustic echo cancellation system without requiring double-talk detector

Marko Kanadi, Muhammad Tahir Akhtar, Wataru Mitsuhashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a novel method for improving performance of the acoustic echo canceller (AEC) employed in the hands-free communication. The main objective is to realize an improved performance without requiring a double talk detector (DTD). The basic idea is to employ a gradient-based independent component analysis (ICA) method with a generalized Cauchy distribution-based flexible score function. In order to achieve an improved convergence and steady-state error performance of the ICA algorithm, a variable step-size (VSS) is proposed for the adaptation rule. Experimental results demonstrate that the proposed method outperforms the existing methods, such as the natural gradient ICA-based AEC method and the VSS normalized least-mean-square (VSS-NLMS) algorithm.

Original languageEnglish
Title of host publication2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings
Pages118-121
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Beijing, China
Duration: Jul 6 2013Jul 10 2013

Publication series

Name2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings

Conference

Conference2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013
CountryChina
CityBeijing
Period7/6/137/10/13

Keywords

  • acoustic echo cancellation
  • Adaptive filter
  • independent component analysis
  • variable step-size

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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