A second-order-statistics-based solution for online multichannel noise tracking and reduction

Mehrez Souden, Jingdong Chen, Jacob Benesty, Sofiène Affes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose a second-order-statistics-based approach to online multichannel noise tracking and reduction. We combine the multichannel speech presence probability (MC-SPP) that we proposed in [1] with an alternative formulation of the minima-controlled recursive averaging (MCRA) technique that we generalize from the single- to the multichannel case. Then, we demonstrate the effectiveness of the proposed MC-SPP and multichannel noise estimator by integrating them into variants of the multichannel noise-reduction Wiener filter.

Original languageEnglish
Title of host publicationConference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Pages1410-1414
Number of pages5
DOIs
StatePublished - 2010
Event44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 - Pacific Grove, CA, United States
Duration: 7 Nov 201010 Nov 2010

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Conference

Conference44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Country/TerritoryUnited States
CityPacific Grove, CA
Period7/11/1010/11/10

Keywords

  • Microphone array
  • minima controlled recursive averaging (MCRA)
  • multichannel noise reduction
  • multichannel speech presence probability (MC-SPP)
  • noise estimation

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