Neural Network Approach to Acoustic Detection of Number of Vehicles

  • Tomasz Walkowiak
  • Pawel Zogal
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)


The paper reports results of applying a perceptron neural network to determine the number of sound sources on a scene monitored by an array of linearly spaced microphones. The standard techniques for solving this problem were found inadequate in the presence of normal disturbances (such as produced by wind). The paper proposes an indirect application of a perceptron neural network, to analyze the results of the MUSIC beam forming technique. The method is experimentally shown to deal with this problem. Field experiments included scenes with zero, one or two moving vehicles proved the system effectiveness.


Sound Source Neural Network Approach Signal Subspace Short Time Fourier Transform Microphone Array 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Tomasz Walkowiak
    • 1
  • Pawel Zogal
    • 1
  1. 1.Institute of Engineering CyberneticsWroclaw University of TechnologyWroclawPoland

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