Efficient Feature Set Developed for Acoustic Gunshot Detection in Open Space
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU142097" target="_blank" >RIV/00216305:26220/21:PU142097 - isvavai.cz</a>
Result on the web
<a href="https://eejournal.ktu.lt/index.php/elt/article/view/28877" target="_blank" >https://eejournal.ktu.lt/index.php/elt/article/view/28877</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5755/j02.eie.28877" target="_blank" >10.5755/j02.eie.28877</a>
Alternative languages
Result language
angličtina
Original language name
Efficient Feature Set Developed for Acoustic Gunshot Detection in Open Space
Original language description
This paper presents an efficient approach to automatic gunshot detection based on a combination of two feature sets: adapted standard sound features and hand-crafted novel features. The standard features are mel-frequency cepstral coefficients adapted for gunshot recognition in terms of uniform gamma-tone filters linearly spaced over the whole frequency range from 0 kHz to 16 kHz. The novel features were derived in the time domain from individual significant points of the raw waveform after amplitude normalization. Experiments were performed using single and ensemble neural networks to verify the effectiveness of the novel features for supplementing the standard features. In binary classification, the developed approach achieved an accuracy of 95.02 % in gunshot detection.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Elektronika Ir Elektrotechnika
ISSN
1392-1215
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
4
Country of publishing house
LT - LITHUANIA
Number of pages
7
Pages from-to
62-68
UT code for WoS article
000689125400008
EID of the result in the Scopus database
2-s2.0-85113600635