PERFORMANCE ANALYSIS OF ADAPTIVE FILTER AND FIR WIENER FILTER FOR NOISE CANCELLATION IN AUDIO SIGNALS

Abstract

Speech has always been one of the most important carriers of information for people and has become a challenge to maintain its high quality. When the speech signal and noise both change continuously, then arises the need for algorithm that will form best estimation of noise signal. In Adaptive Noise Cancellation and Wiener Noise Cancellation two inputs - primary and reference signals are used. The primary input receives signal from the signal source which has been corrupted with a noise uncorrelated to the signal. The reference input receives noise signal uncorrelated with the signal but correlated in some way to the noise signal in primary input. The reference input is filtered to obtain a close estimate of primary input noise which is then subtracted from the corrupted signal at the primary input to produce an estimate of a clean uncorrupted signal. The audio signal corrupted with noise is used as a primary input and a noise signal is used as reference input. Computer simulations are carried out using MATLAB and illustrated.