Computational auditory scene analysis in cellular wave computing framework

被引：4
|
作者：
Fodroczi, Zoltan
Radvanyi, Andras
机构：
[1] Pazmany Univ, Fac Informat Technol, H-1058 Budapest, Hungary
[2] Hungarian Acad Sci, Comp & Automat Res Inst, Anal & Neural Comp Lab, H-1111 Budapest, Hungary
来源：
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS | 2006年 / 34卷 / 04期
关键词：
computational auditory scene analysis; cellular neural networks (CNN); CNN Universal Machine (CNN-UM); wave computer; auditory pre-processing; wave computation; sound source localization;
D O I：
10.1002/cta.362
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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 (C) 2006 John Wiley & Sons, Ltd.
引用
收藏
页码：489 / 515
页数：27
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