Dynamic range compression for noisy mixtures using source separation and beamforming

Ryan M. Corey, Andrew C. Singer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages289-293
Number of pages5
ISBN (Electronic)9781538616321
DOIs
StatePublished - Dec 7 2017
Event2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017 - New Paltz, United States
Duration: Oct 15 2017Oct 18 2017

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Volume2017-October

Other

Other2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017
Country/TerritoryUnited States
CityNew Paltz
Period10/15/1710/18/17

Keywords

  • Dynamic range compression
  • audio source separation
  • beamforming
  • hearing AIDS
  • speech enhancement

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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