A Robust Echo Compensator: Implementation And Realtime Measurements

Frenzel, R.; Hennecke, M.E.

doi:10.1109/aspaa.1991.634136

Cited by 1 publication

(2 citation statements)

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“…There have been various suggestions for the solution of this problem, such as speech controlled switching of loss devices [l], which do not work satiefactory in many cases, or adaptive filters for echo cancellation [2], which have a great computational complexity.…”

Section: Introductionmentioning

confidence: 99%

“…where w is the factor which fixes the width of the expansion area in (2) and d, is a factor greater than one which determines when the long-term estimation &, (k) causes a raising of yo(k). It is important to have this factor greater than one, so only strong speech signals cause a change of yo(k), whereas for speech signals of moderate intensity yo(k) remains unchanged.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive gain control for speech quality improvement and echo suppression

Heitkämper

Walker²

1993 IEEE International Symposium on Circuits and Systems

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Pet er Heit k b p e r Michael Walker Institut fur Netzwerk-und Signdtheorie ALCATEL-SEL Technische Hochschule D t t a d t Merckstr. 25 D-6100 D m t a d t , Germmy Abstract Spes& quality in hands-free telephone rete can be improved and acoustic echos can be ruppreued by gain control in the tranrmirsion path of such telephone syrtama. The gain factor b uomputed as a function of the short-term l e d of the input signal which allows the separation of rpeech from background nobe and can cope with differeat speech intensities. hrthermore, the gain tactor ir Muemced by an estimation of the backgaupd noise level and the level of the l o u d s e dgrml. All environmemt parametem are adapted prky the near-end and far-end rig". For that purpora, a method of speech detection and a doublstnlk d e tector based on a c c o s s -c o~t i o n estimate are introduced. The algorithm was implemented on a digital rignal procesror, and operation with a wide bandwidth of 12 kH5 in v a r i d environments was satiafactory.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%