Title :
An Apposite Vlsi Design To Nullify Sound Reverberation In Communications
Author_Institution :
Delhi Univ.
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
Keywords :
Newton method; VLSI; adaptive filters; audio signal processing; autoregressive processes; echo suppression; integrated circuit design; least mean squares methods; packet radio networks; ERLE performance improvement; VLSI design; adaptive filter; autoregressive modelling; commercial mobile communications; delay estimation; echo cancellation algorithm; fast LMS/Newton algorithm; hands free telephony; packetized audio transmission; sound reverberation cancellation; Acoustic noise; Adaptive filters; Delay estimation; Echo cancellers; Least squares approximation; Noise cancellation; Noise reduction; Reverberation; Speech enhancement; Very large scale integration;
Conference_Titel :
Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006. Proceedings of the International Conference
Conference_Location :
Gdynia
Print_ISBN :
83-922632-2-7
DOI :
10.1109/MIXDES.2006.1706660