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HIGH PERFORMANCE SUPERVISED TIME-DELAY ESTIMATION USING NEURAL NETWORKS

Citation Author(s):
Pooyan Safari, Climent Nadeu
Submitted by:
Ludwig Houegnigan
Last updated:
20 February 2020 - 1:22pm
Document Type:
PhD/MS Forum V Paper
Document Year:
2017
Event:
Presenters Name:
Ludwig Houegnigan
Paper Code:
PMF-P5.8

Abstract 

Abstract: 

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 estimation using pattern recognition techniques; it presents high performance results obtained with supervised training of neural networks which challenge the state of the art and compares its performance to that of well-known methods such as the Generalized Cross-Correlation or Adaptive Eigenvalue Decomposition.

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paperludwighouegnigan_shortversion.pdf

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