NDLI: An Apposite Vlsi Design To Nullify Sound Reverberation In Communications

Content Provider	IEEE Xplore Digital Library
Author	Govil, J.
Copyright Year	2006
Description	Author affiliation: Delhi Univ. (Govil, J.)
Abstract	With the advent of packetized audio transmission, sound reverberation (or echo cancellation) has put forth many challenging requirements. Using an adaptive filter echo cancellation algorithm only in the active region in which echo exists, its performance can be greatly increased, and its complexity can be reduced. The proposed scheme estimates the constant delay and locates the active regions and is integrated with the fast LMS/Newton algorithm for efficient realization of long adaptive filters. We assume that the input sequence to the adaptive filter can be modelled as an autoregressive (AR) process whose order may be kept much lower than the adaptive filter length. In addition, the proposed echo cancellation is further integrated with residual echo cancellation scheme based on the autoregressive (AR) analysis. Residual echo is whitened by the inverse filter using the estimated AR coefficients. Removing speech characteristics of the residual echo signal, the noise reduction system successfully reduces the power of residual echo as well as that of ambient noise. The result of this integration is a powerful echo cancellation scheme that has improved performance and higher suitability for VLSI designs providing efficient operation in packetized audio transmission, hands free telephony, and commercial mobile communications. Experimental results prove that the proposed system improves the ERLE performance considerable
Starting Page	632
Ending Page	635
File Size	224218
Page Count	4
File Format	PDF
ISBN	8392263227
DOI	10.1109/MIXDES.2006.1706660
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-22
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	DEPT OF MICROELECTRONICS AND COMP SCIENC
Subject Keyword	Echo cancellers Acoustic noise Noise reduction Adaptive filters Delay estimation Very large scale integration Speech enhancement Noise cancellation Reverberation Least squares approximation
Content Type	Text
Resource Type	Article

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