Ludwig Houegnigan, Pooyan Safari, Climent Nadeu, Mike van der Schaar, Marta Sole and Michel Andre, Polytechnic University of Catalonia, Spain

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 in the adverse environment such as reverberant rooms or underwater; it presents unprecedented 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.

Time-delay estimation, neural networks, source localization, underwater acoustics, room acoustics