An LCMV Filter for Single-Channel Noise Cancellation and Reduction in the Time Domain

Jesper Rindom Jensen, Jacob Benesty, Mads Græsbøll Christensen, Jingdong Chen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citationer (Scopus)
363 Downloads (Pure)

Abstrakt

In this paper, we consider a recent class of optimal rectangular filtering matrices for single-channel speech enhancement. This class of filters exploits the fact that the dimension of the signal subspace is lower than that of the full space. Then, extra degrees of freedom in the filters, that are otherwise reserved for preserving the signal subspace, can be used for achieving an improved output signal-to-noise ratio (SNR). Interestingly, these filters unify the ideas of optimal filtering and subspace methods. We propose an optimal LCMV filter in this framework with minimum output power that passes the desired signal undistorted and cancels correlated noise. The cancellation was not facilitated by the filters derived so far in this framework. The results show that the proposed filter can achieve output
SNRs similar to that of competing filter designs, while having a much higher output signal-to-interference ratio. This is showed for both synthetic and real speech signals.
OriginalsprogEngelsk
Titel2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
ForlagIEEE
Publikationsdato2013
Sider1-4
DOI
StatusUdgivet - 2013
BegivenhedWASPAA 2013 - New York, USA
Varighed: 20 okt. 201323 okt. 2013

Konference

KonferenceWASPAA 2013
LandUSA
ByNew York
Periode20/10/201323/10/2013
NavnI E E E Workshop on Applications of Signal Processing to Audio and Acoustics
ISSN1931-1168

Emneord

  • speech enhancement
  • interferer cancellation
  • lcmv
  • optimal filtering

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