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
A New Approach for Speech Enhancement Based on a Constrained Nonnegative Matrix Factorization
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2011 (English)In: IEEE International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2011, IEEE , 2011Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, a new approach is presented for singlechannelspeech enhancement which is based on NonnegativeMatrix Factorization (NMF). The proposed scheme combinesthe noise Power Spectral Density (PSD) estimation based ona constrained NMF and Wiener filtering to enhance the noisyspeech. The imposed constraint is motivated by the time correlationof the underlying observations and enforces the NMF togive smoother estimates of the nonnegative factors. Comparedto the standard NMF approach and Wiener filtering based ona recently developed noise PSD estimator, Source to DistortionRatio (SDR) is

Place, publisher, year, edition, pages
IEEE , 2011.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-42591DOI: 10.1109/ISPACS.2011.6146099Scopus ID: 2-s2.0-84857244217OAI: oai:DiVA.org:kth-42591DiVA: diva2:447324
Conference
IEEE International Symposium on Intelligent Signal Processing and Communication Systems. Chiang Mai, Thailand. 07 Dec - 09 December 2011
Projects
AUDIS
Funder
EU, European Research Council, 2008-214699
Note

QC 20111116

Available from: 2012-10-31 Created: 2011-10-11 Last updated: 2012-10-31Bibliographically approved

Open Access in DiVA

fulltext(374 kB)300 downloads
File information
File name FULLTEXT02.pdfFile size 374 kBChecksum SHA-512
c0c44ce255b9e601ad010f631314257aaffda4999c115d633880ed50808848c7cf0a53906e602967283aff53556635d1a0737b6ec0bd832be8bdaa106b1db85d
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopusIEEEXplore

Search in DiVA

By author/editor
Mohammadiha, NasserGerkmann, TimoLeijon, Arne
By organisation
Sound and Image Processing
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 300 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 198 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