Computational auditory scene analysis; principles, algorithms, and applications.9780471741091 Computational auditory scene analysis Computational auditory scene analysis (CASA) is the study of auditory scene analysis by computational means [1]. In essence, CASA systems are "machine listening" systems that aim to separate mixtures of sound sources in the same way that human listeners do. ; principles, algorithms, and applications. Ed. by DeLiang Wang and Guy J. Brown. Wiley-Interscience 2006 395 pages $89.95 Hardcover TK5936 Auditory scene analysis Auditory scene analysis (ASA) is a term coined by the psychologist Albert Bregman [1] to describe the process by which the human auditory system organizes complex mixtures of sound. is the process by which a hearer mentally separates the single wave form received by the ear into the various sounds that compounded to form it--for example into a person talking, a bird singing, and traffic; or into a violin, a trumpet trumpet, brass wind musical instrument of part cylindrical, part conical bore, in the shape of a flattened loop and having three piston valves to regulate the pitch. , and a drum. It turns out that the process can be modeled by computer by exploiting perceptual per·cep·tu·al adj. Of, based on, or involving perception. principles. Here scientists and engineers who have done it explain the ropes to colleagues who have not, but would like to. ([c]20062005 Book News, Inc., Portland, OR) |
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