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Erschienen in:
Human Brainnetome Atlas and Its Potential Applications in Brain-Inspired Computing Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Bio-Inspired Filters for Audio Analysis

verfasst von : Nicola Strisciuglio, Mario Vento, Nicolai Petkov

Erschienen in: Brain-Inspired Computing

Verlag: Springer International Publishing

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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.

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Vorheriges Kapitel Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing
Nächstes Kapitel Sophisticated LVQ Classification Models - Beyond Accuracy Optimization
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Metadaten
Titel
Bio-Inspired Filters for Audio Analysis
verfasst von
Nicola Strisciuglio
Mario Vento
Nicolai Petkov
Copyright-Jahr
2016
Buch
Brain-Inspired Computing

Print ISBN: 978-3-319-50861-0

Electronic ISBN: 978-3-319-50862-7

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-50862-7_8

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