Gunshot Recognition using Low Level Features in the Time Domain

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127701" target="_blank" >RIV/00216305:26220/18:PU127701 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8376372/" target="_blank" >https://ieeexplore.ieee.org/document/8376372/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEK.2018.8376372" target="_blank" >10.1109/RADIOELEK.2018.8376372</a>

Result language
angličtina
Original language name
Gunshot Recognition using Low Level Features in the Time Domain
Original language description
This paper explores the possibility of using scarcely used time-domain features for the task of gunshot recognition. A set of 11 features derived from temporal characteristics (waveform) of signals is calculated from a mixed dataset of gunshots and non-gunshots. The features leverage the impulsive nature of gunshots and their dissimilarity to other, especially more stationary signals. The paper includes a description of feature extraction, distribution of features and their recognition performance on a selected audio dataset. A subset achieves promising results in comparison with more frequently used spectral-domain features. This makes them a valuable addition to other frequently used features, especially for tasks of impulsive sound recognition.
Czech name
—
Czech description
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Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 28th International Conference Radioelektronika 2018
ISBN
978-1-5386-2485-2
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
Neuveden
Event location
Praha
Event date
Apr 19, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000465415100025

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