Dynamic Range Compression for Noisy Mixtures Using Source Separation and Beamforming

  • Authors:
    Ryan M. Corey (UIUC), Andrew Singer (UIUC)
    Publication ID:
    P090896
    Publication Type:
    Paper
    Received Date:
    12-May-2017
    Last Edit Date:
    12-May-2017
    Research:
    2385.001 (University of Illinois/Urbana-Champaign)

Abstract

Dynamic range compression is widely used in digital hearing aids, but performs poorly in noisy conditions with multiple sources. We propose a system that combines source separation, compression, and beamforming to compress each source independently. We derive an expression for a time-varying weighted multichannel Wiener filter that performs both beamforming and compression. Experiments using recorded speech and behind-the-ear hearing aid impulse responses suggest that the combined system provides more accurate dynamic range compression than a conventional compressor in the presence of competing speech and background noise.

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