A method of signal extraction from noisy signal based on auditory scene analysis

This paper proposes a method of extracting the desired signal from a noisy signal, addressing the problem of segregating two acoustic sources as a mod el of acoustic source segregation based on Auditory Scene Analysis. Since t he problem of segregating two acoustic sources is an ill-posed inverse prob lem, constraints are needed to determine a unique solution. The proposed me thod uses the four heuristic regularities proposed by Bregman as constraint s and uses the instantaneous amplitude and phase of noisy signal components that have passed through a wavelet filterbank as features of acoustic sour ces. Then the model can extract the instantaneous amplitude and phase of th e desired signal. Simulations were performed to segregate the harmonic comp lex tone from a noise-added harmonic complex tone and to compare the result s of using all or only some constraints. The results show that the method c an segregate the harmonic complex tone precisely using all the constraints related to the four regularities and that the absence of some constraints r educes the accuracy. (C) 1999 Elsevier Science B.V. All rights reserved.