A reduced-rank approach to single-channel noise reduction

Wei Zhang, Jingdong Chen, Jacob Benesty

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

2 Scopus citations

Abstract

This paper investigates the application of the so-called reduced-rank principle to the problem of single-channel noise reduction. Under the reduced-rank framework, we develop reduced-rank Wiener and tradeoff filters. In comparison to the classical Wiener filter, the reduced-rank Wiener one can provide a degree of freedom to control the compromise between noise reduction and speech distortion. Similarly, the reduced-rank tradeoff filter offers one more degree of flexibility than the traditional tradeoff filter to optimize the noise reduction performance. Experiments are carried out and preliminary results indicate that the reduced-rank optimal filters are more interesting than their conventional counterparts in many aspects.

Original languageEnglish
Title of host publication2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages293-297
Number of pages5
ISBN (Electronic)9781479968084
DOIs
StatePublished - 11 Nov 2014
Event2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014 - Juan-les-Pins, France
Duration: 8 Sep 201411 Sep 2014

Publication series

Name2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014

Conference

Conference2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014
Country/TerritoryFrance
CityJuan-les-Pins
Period8/09/1411/09/14

Keywords

  • noise reduction
  • Reduced-rank
  • tradeoff filter
  • Wiener filter

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