A method for signal extraction from noise-added signals
Masashi Unoki, Masato Akagi · Electronics and Communications in Japan (Part III Fundamental Electronic Science) · 1997
This paper proposes a new method for signal extraction from noise-added signals, addressing the problem of segregating two acoustic sources as a model for acoustic source segregation. This method models some constraints of auditory scene analysis (ASA) and makes it possible to segregate two acoustic sources using the amplitude envelope and the phase deviation (input and output phase) obtained from the output of a wavelet filterbank. Using these three physical clues, the amplitude envelope and the output phase are determined; then, the input phase is determined by using the physical constraints translated from heuristic regularities, changes in an acoustic event and gradualness of change, as proposed by Bregman. As an example of segregation using the proposed method, we seek to provide a solution for the problem of segregating two acoustic sources in which a sinusoidal signal is added to a bandpassed noise. In particular, if the parameters of the proposed model are set to human auditory properties, it can serve as a computational model for co-modulation masking release, which makes extraction of sinusoidal signals when such signals are added to AM bandpassed noise simpler while making the extraction of sinusoidal signals difficult when such signals are added to bandpassed ransom noise. © 1997 Scripta Technica, Inc. Electron Comm Jpn Pt 3, 80(11): 1–11, 1997