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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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e-ISSN
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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
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