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Bio-Inspired Filters for Audio Analysis

  • Nicola StrisciuglioEmail author
  • Mario Vento
  • Nicolai Petkov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10087)

Abstract

Nowadays, much is known about the functions of the components of the human auditory system. Computational models of these components are widely accepted and recently inspired the work of researchers in pattern recognition and signal processing. In this work we present a novel filter, which we call COPE (Combination of Peaks of Energy), that is inspired by the way the sound waves are converted into neuronal firing activity on the auditory nerve. A COPE filter creates a model of the pattern of the neural activity generated by a sound of interest and is able to detect the same pattern and modified versions of it. We apply the proposed method on the task of event detection for surveillance of roads. For the experiments, we use a publicly available data set, namely the MIVIA road events data set. The results that we achieve (recognition rate equal to \(94\%\) and false positive rate lower than \(4\%\)) and the comparison with existing methods demonstrate the effectiveness of the proposed bio-inspired filters for audio analysis.

Keywords

Audio analysis Auditory system Bio-inspired filters Event detection Trainable COPE filters 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Nicola Strisciuglio
    • 1
    • 2
    Email author
  • Mario Vento
    • 2
  • Nicolai Petkov
    • 1
  1. 1.Johann Bernoulli Institute for Mathematics and Computer ScienceUniversity of GroningenGroningenThe Netherlands
  2. 2.Department of Information and Electrical Engineering and Applied MathematicsUniversity of SalernoFiscianoItaly

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