This paper presents a method of extracting the desired signal from a
noise-added signal as a model of acoustic source segregation.
Using physical constraints related to the four regularities proposed by
Bregman, the proposed method can solve the problem of segregating two
acoustic sources. These physical constraints correspond to the
regularities, which we have translated from qualitative conditions into
quantitative conditions. Three simulations were carried out using the
following signals: (a) noise-added AM complex tone, (b) mixed AM complex
tones, and (c) noisy synthetic vowel. The performance of the proposed
method has been evaluated using two measures: precision, that is, likely
SNR, and spectrum distortion (SD). As results using the signals (a) and
(b), the proposed method can extract the desired AM complex tone from
noise-added AM complex tone or mixed AM complex tones, in which signal
and noise exist in the same frequency region. In particular, the average
of the reduced SD is about $20$ dB. Moreover, as the result using the
signal (c), the proposed method can also extract the speech signal from
noisy speech.
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