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Speech Enhancement using an Adaptive Gain Equalizer with Frequency Dependent Parameter Settings
Responsible organisation
2004 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

This paper presents an enhanced noise reduction method for speech communication where the input signal is divided into a number of subbands that are individually weighted in time domain according to the short time Signal-to-Noise Ratio estimate (SNR) in each subband at every time instant. Instead of focusing on suppression the noise, the method is focusing on speech enhancement. The subband based method is extended with frequency dependent parameter settings, equipping the user with further tweaking possibilities. Hence, making the algorithm even more versatile and applicable in different noise situations. The method has proven to be advantageous since it offers low complexity, low delay and low distortion. Also, there is no need for a Voice Activity Detector (VAD). The method is stand-alone and works regardless of speech coding schemes and other surrounding adaptive systems.

Place, publisher, year, edition, pages
Los Angeles: IEEE , 2004.
Keywords [en]
Speech Enhancement, Adaptive Gain Equalizer, Subband
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-10017ISI: 000227931904136Local ID: oai:bth.se:forskinfo56776D52CB82AF82C1256EF6002DD441ISBN: 0-7803-8521-7 (print)OAI: oai:DiVA.org:bth-10017DiVA, id: diva2:838024
Conference
IEEE 60th Vehicular Technology Conference. VTC2004-Fall
Available from: 2012-09-18 Created: 2004-08-20 Last updated: 2015-06-30Bibliographically approved

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fulltext(3452 kB)757 downloads
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Authority records

Dahl, MattiasClaesson, Ingvar

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Dahl, MattiasClaesson, Ingvar
Signal Processing

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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