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

页码：489 / 515

页数：27