This paper proposes a method of extracting the desired signal from a
noisy signal, addressing the problem of segregating two acoustic sources
as a model of acoustic source segregation base on Auditory Scene Analysis.
Since the problem of segregating two acoustic sources is an ill-inverse
problem, constraints are needed to determine an unique solution.
The proposed method uses the four heuristic regularities proposed by
Bregman as constraints and uses the instantaneous amplitude and phase of
noisy signal components that have passed through a wavelet filterbank as
features of acoustic sources. Then the model can extracts the
instantaneous amplitude and phase of the desired signal. Simulations
were performed to segregate the harmonic complex tone from a noise-added
harmonic complex tone and to compare the results of using all or only some
constraints. The results show that the method can segregate the harmonic
complex tone precisely using all the constraints related to the four
regularities and that the absence some constraints reduces the accuracy.
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