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Sub-band Acoustic Echo Cancellation
Responsible organisation
1997 (English)Report (Other academic)
Abstract [en]

Echo suppression is a vital part of every communications system. The use of handsfree communication in cars, computer applications and video conferencing have created further demands for high-quality acoustic echo cancellation. In these applications the acoustic channel has, typically, a long impulse response in the order of 100ms. Typical lengths of adaptive FIR-filters are 500-1500 taps, assuming a 12 kHz sampling frequency. In order to reduce the computational load and also to improve the convergence rate, subband processing schemes have been suggested. This paper presents a study of a delayless sub-band adaptive filter. The study shows a possible echo suppression of about 30 dB and also an improved convergence rate when compared to a fullband LMS-filter. The main issues discussed are filter bank design and a simple speech detector that gives a drastic performance improvement

Abstract [sv]

Eko-utsläckning är en viktig del i dagens moderna kommunikationssystem. Användningen av "hands-free" utrustning i bilar, datorapplikationer, videokonferanser e.t.c, har skapat ett ökande behov av högkvalitativ akustisk eko-utsläckning. Inom dessa användnings områden är typiska längder på den akustiska kanalens impulssvar ca. 500-1500 ¯fi terkoeficienter, vid en samplingsfrekvens pºa 12 khz. Genom att låta eko-utsläckaren jobba med filter-strukturer som delar in signalerna i olika frekvensband fås en minskad beräkningskomplexitet och en snabbare konvergens för eko-utsläckaren. I denna studie visas att med den här typen av filter, kan en ekoundertryckning på 30 dB uppnås och en förbättrad konvergenshastighet jämfört med en traditionell ekoutsläckare. I den här rapporten är tyngdpunkten lagd på konstruktionen av filter-banken som delar upp sig- nalerna i olik delband och införandet av en enkel taldetektor som på ett ärkbart sätt ökar ekoutsläckarens effektivitet.

Place, publisher, year, edition, pages
1997.
Series
Blekinge Tekniska Högskola Forskningsrapport, ISSN 1103-1581 ; 7
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-00058Local ID: oai:bth.se:forskinfoF469163084153AC3C12568A3002CA9BEOAI: oai:DiVA.org:bth-00058DiVA, id: diva2:837198
Available from: 2012-09-18 Created: 2000-03-15 Last updated: 2015-06-30Bibliographically approved

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Signal Processing

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CiteExportLink to record
Permanent link

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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
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