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Gunshot detection using convolutional neural networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU137726" target="_blank" >RIV/00216305:26220/20:PU137726 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9141621" target="_blank" >https://ieeexplore.ieee.org/document/9141621</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IEEECONF49502.2020.9141621" target="_blank" >10.1109/IEEECONF49502.2020.9141621</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Gunshot detection using convolutional neural networks

  • Original language description

    The main paper deals with the analysis of the methods of signal processing and events recognition in the audio signal and the implementation of the selected method in real use. Recognized events are gunshots mixed with a background sound such as traffic noise, human voice, animal sounds and other forms of environmental sounds. The proposed algorithm adapted for explosion detection can be used as part of a security system for monitoring depots or places dedicated to storing dangerous materials. For events classification and class recognition, the freely available machine learning frameworks TensorFlow and Keras are used.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

    <a href="/en/project/VI20172020078" target="_blank" >VI20172020078: System for centralized supervision of complex and large area objects of critical state infrastructure</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    24th International Conference Electronics, ELECTRONICS 2020

  • ISBN

    978-1-7281-5868-6

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Litva

  • Event location

    Palanga

  • Event date

    Jun 15, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article