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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