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In perception and psychophysics, auditory scene analysis (ASA) is a proposed model for the basis of auditory perception. This is understood as the process by which the human auditory system organizes sound into perceptually meaningful elements. The term was coined by psychologist Albert Bregman.[1] The related concept in machine perception is computational auditory scene analysis (CASA), which is closely related to source separation and blind signal separation.
The three key aspects of Bregman's ASA model are: segmentation, integration, and segregation.