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Adaptive Gain Equalizer for Speech Enhancement
Responsible organisation
2002 (English)Report (Other academic)
Abstract [en]

This report presents a 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 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.

Abstract [sv]

Denna rapport beskriver en algoritm för bullerundertryckning i talsignaler. Algoritmen baseras på skattningar av förhållandet mellan brusnivå och talnivå i olika frekvensband i signalen. Varje frekvensband viktas enligt detta förhållande, vilket leder till ett ökat förhållande mellan nyttig talsignal och bakgrundsbrus. Metoden har visat sig vara både robust och flexibel och kräver ingen detektor av talpauser, något som är ett vanligt krav i andra bullerundetryckningsalgoritmer.

Place, publisher, year, edition, pages
2002.
Series
Blekinge Tekniska Högskola Forskningsrapport, ISSN 1103-1581 ; 13
Keyword [en]
Speech Enhancement, Adaptive Equalizer, Subband processing, Noise Reduction
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-00186Local ID: oai:bth.se:forskinfo0A4263232BC350DFC1256C6B003D9831OAI: oai:DiVA.org:bth-00186DiVA: diva2:838418
Available from: 2012-09-18 Created: 2002-11-08 Last updated: 2015-06-30Bibliographically approved

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fulltext(2797 kB)53 downloads
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Authority records BETA

Dahl, MattiasClaesson, Ingvar

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Signal Processing

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CiteExportLink to record
Permanent link

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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