文章基本信息

标题：Neural Networks for High Performance Time-Delay Estimation and Acoustic Source Localization
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作者：Ludwig Houégnigan ; Pooyan Safari ; Climent Nadeu 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2017
卷号：7
期号：1
页码：137-146
DOI：10.5121/csit.2017.70114
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Time-delay estimation is an essential building block of many signal processing applications.This paper follows up on earlier work for acoustic source localization and time delay estimationusing pattern recognition techniques in the adverse environment such as reverberant rooms orunderwater; it presents unprecedented high performance results obtained with supervisedtraining of neural networks which challenge the state of the art and compares its performanceto that of well-known methods such as the Generalized Cross-Correlation or AdaptiveEigenvalue Decomposition.
关键词：Time-delay estimation; neural networks; source localization; underwater acoustics; room;acoustics