Optimal gain filter design for perceptual acoustic echo suppressor

Kihyeon Kim, Hanseok Ko

Research output: Contribution to journalArticlepeer-review

Abstract

This Letter proposes an optimal gain filter for the perceptual acoustic echo suppressor. We designed an optimally-modified log-spectral amplitude estimation algorithm for the gain filter in order to achieve robust suppression of echo and noise. A new parameter including information about interferences (echo and noise) of single-talk duration is statistically analyzed, and then the speech absence probability and the a posteriori SNR are judiciously estimated to determine the optimal solution. The experiments show that the proposed gain filter attains a significantly improved reduction of echo and noise with less speech distortion.

Original languageEnglish
Pages (from-to)1320-1323
Number of pages4
JournalIEICE Transactions on Information and Systems
VolumeE92-D
Issue number6
DOIs
Publication statusPublished - 2009

Keywords

  • Acoustic echo cancellation system
  • Auditory spectral envelope
  • Optimally-modified log-spectral amplitude
  • Perceptual acoustic echo suppressor

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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