Delayless frequency domain acoustic echo cancellation

Yosef Bendel, David Burshtein*, Ofir Shalvi, Ehud Weinstein

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

The computational complexity of classical time domain gradient-based echo cancellation algorithms might be prohibitively high, due to the very long response of the acoustic transfer functions involved. A reduction in computational complexity can be achieved by using frequency domain or subband algorithms. However, these algorithms introduce an inherent delay in the signal path. The delayed echo has an annoying psychoacoustic effect. Additionally, the delay prevents natural, full-duplex conversation. Moreover, when operated in practical scenarios, using speech signals in actual room acoustic environments, the convergence and tracking properties of the frequency domain algorithms do not compare favorably with those of the NLMS algorithm. This is because the range of values of the convergence constant that support a stable filter is more restrictive for the frequency domain algorithms. In this study we introduce a new algorithm termed delayless frequency domain (DLFD). The DLFD exhibits performance comparable to that of the NLMS algorithm with a computational complexity comparable to that of standard frequency domain algorithms and without the processing delay.

Original languageEnglish
Pages (from-to)589-597
Number of pages9
JournalIEEE Transactions on Speech and Audio Processing
Volume9
Issue number5
DOIs
StatePublished - Jul 2001

Keywords

  • Acoustic echo cancellation
  • Adaptive filtering
  • PBFDAF algorithm

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