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Computing auditory perception

Published online by Cambridge University Press:  23 July 2001

HENDRIK PURWINS ,
BENJAMIN BLANKERTZ  and
KLAUS OBERMAYER
HENDRIK PURWINS
Affiliation:
Neural Information Processing Group FR 2-1, FB 13, Technical University of Berlin, Franklinstr. 28/29, 10587 Berlin, Germany E-mail: {hendrik,oby}@cs.tu-berlin.de URL: http://www.cs.tu-berlin.de/≈hendrik/
BENJAMIN BLANKERTZ
Affiliation:
GMD-FIRST, Rudower Chaussee 5, 12489 Berlin, Germany E-mail: blanker@first.gmd.de
KLAUS OBERMAYER
Affiliation:
Neural Information Processing Group FR 2-1, FB 13, Technical University of Berlin, Franklinstr. 28/29, 10587 Berlin, Germany E-mail: {hendrik,oby}@cs.tu-berlin.de URL: http://www.cs.tu-berlin.de/≈hendrik/
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Abstract

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. Computerised 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.

Type
Research Article
Information
Organised Sound , Volume 5 , Issue 3 , December 2000 , pp. 159 - 171
Copyright
© 2000 Cambridge University Press

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