Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Estimation of the Noise Correlation Matrix
Delft University of Technology.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2011 (English)In: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011Conference paper, Published paper (Refereed)
Abstract [en]

To harvest the potential of multi-channel noise reduction methods, it is crucial to have an accurate estimate of the noise correlation matrix. Existing algorithms either assume speech absence and exploit a voice activity detector (VAD), or make use of additional assumptions like a diffuse noise field. Therefore, these algorithms are limited with respect to their tracking speed and the type of noise fields for which they can estimate the correlation matrix. In this paper we present a new method for noise correlation matrix estimation that makes no assumptions about the type of noise field, nor uses a VAD. The presented method exploits the existence of accurate single-channel noise PSD estimators, as well as the availability of one noise reference per microphone pair. For spatially and temporally non-stationary noise fields, the proposed method leads to improved performance compared to widely used state-of-the-art reference methods in terms of both segmental SNR and beamformer response error.

Place, publisher, year, edition, pages
2011.
Series
IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Keyword [en]
multi-microphone, noise correlation matrix, Speech enhancement
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-42719DOI: 10.1109/ICASSP.2011.5947414Scopus ID: 2-s2.0-80051611849ISBN: 978-1-4577-0537-3 (print)ISBN: 978-1-4577-0538-0 (print)OAI: oai:DiVA.org:kth-42719DiVA: diva2:447546
Conference
36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011; Prague; 22 May 2011 through 27 May 2011
Note
QC 20111117Available from: 2011-10-12 Created: 2011-10-12 Last updated: 2011-11-17Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Gerkmann, Timo
By organisation
Sound and Image Processing
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 66 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf