Computational auditory scene analysis in cellular wave computing framework | Zendy

Fodróczi Zoltán | Zendy; Radványi András | Zendy

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Computational auditory scene analysis in cellular wave computing framework

Author(s) -

Fodróczi Zoltán,

Radványi András

Publication year - 2006

Publication title -

international journal of circuit theory and applications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.364

H-Index - 52

eISSN - 1097-007X

pISSN - 0098-9886

DOI - 10.1002/cta.362

Subject(s) - psychoacoustics , computer science , computational auditory scene analysis , auditory scene analysis , set (abstract data type) , speech recognition , domain (mathematical analysis) , artificial neural network , frequency domain , auditory system , artificial intelligence , perception , computer vision , psychology , mathematics , neuroscience , mathematical analysis , programming language

Extracting substantive auditory objects from an auditory mixture is a widely studied and difficult problem in auditory research. Computational auditory scene analysis (CASA) aims at extracting objects in the frequency domain, based on a set of psychoacoustic grouping procedures. To mimic some aspects of the human auditory system a new cellular neural/non‐linear network (CNN)‐based library of procedures forming an Auditory Wave Computing Toolkit (AWCT) is presented here. Copyright © 2006 John Wiley & Sons, Ltd.

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