A statistical model based post-filtering algorithm for residual echo suppression

Seung Yeol Lee, Jong Won Shin, Hwan Sik Yun, Nam Soo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we propose a novel residual echo suppression (RES) algorithm constructed in the acoustic echo canceller. In the proposed approach, we introduce a statistical model to detect the signal components of the output signal and the state of signal is classified into four distinct hypothesis depending on the activity of near-end signal and residual echo. For hypothesis testing, the conventional likelihood ratio test is performed to make an optimal decision. The parameters specified in terms of the power spectral densities can be obtained by updating according to the hypothesis testing results and we can obtain the optimal RES filter by adopting the estimated parameters. The experimental results show that the proposed algorithm yields improved performance compared to that of the previous RES technique.

Original languageEnglish
Title of host publicationInternational Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
PublisherUnavailable
Pages1377-1380
Number of pages4
ISBN (Print)9781605603162
StatePublished - 2007
Event8th Annual Conference of the International Speech Communication Association, Interspeech 2007 - Antwerp, Belgium
Duration: 27 Aug 200731 Aug 2007

Publication series

NameInternational Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
Volume2
ISSN (Electronic)1990-9772

Conference

Conference8th Annual Conference of the International Speech Communication Association, Interspeech 2007
Country/TerritoryBelgium
CityAntwerp
Period27/08/0731/08/07

Keywords

  • Acoustic echo cancellation
  • Post-filtering
  • Residual echo suppression

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