The acoustic echo cancelation using blind source separation to reduce double-talk interference

Yoshihiro Sakai, Kana Akahori, Muhammad Tahir Akhtar, Wataru Mituhashi

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

Abstract

An acoustic echo canceler (AEC) has been used to remove acoustic echoes generated in hands-free telecommunications. The AEC cancels the acoustic echoes by approximating the echo-path with use of an adaptive filter and subtracting the pseudo echoes generated by the filter from the observed signal. However, the conventional adaptive algorithm for updating the filter fails in estimation of the echo-path during double-talk in which both the acoustic echo and the near-end speech are observed. On the other hand, echo cancelation applying blind source separation (BSS) can perform echo cancelation during double-talk, but its convergence speed is slower than that of the conventional adaptive algorithm. In this paper, a system that combines the conventional AEC and BSS is proposed. Simulation results show that the proposed system is effective for the echo-path estimation during double-talk and echo-path variation.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Pages731-734
Number of pages4
ISBN (Print)9781467322591
Publication statusPublished - Jan 1 2012
Externally publishedYes
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: Aug 20 2012Aug 23 2012

Publication series

NameProceedings of the SICE Annual Conference

Conference

Conference2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
CountryJapan
CityAkita
Period8/20/128/23/12

Keywords

  • acoustic echo canceler
  • blind source separation
  • double-talk
  • independent component analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'The acoustic echo cancelation using blind source separation to reduce double-talk interference'. Together they form a unique fingerprint.

Cite this