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- H. Purwins, B. Blankertz,
and K. Obermayer. Computing Auditory Perception.
.
Organised Sound, 5:159-171, 2000.
(FTP Gzipped PostScript, 258 kb)
In this paper the ingredients of computing auditory perception are
reviewed. On the basic level there is neurophysiology, which is abstracted to
artificial neural nets (ANNs) and enhanced by statistics to machine learning.
There are high-level cognitive models derived from psychoacoustics
(especially Gestalt principles). The gap between neuroscience and
psychoacoustics has to be filled by numerics, statistics, and heuristics.
Computerized auditory models have a broad and diverse range of applications:
hearing aids and implants, compression in audio codices, automated music
analysis, music composition, interactive music installations, and information
retrieval from large databases of music samples.
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