Comparison of Feature Performance in Gunshot Detection Depending on Noise Degradation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU123540" target="_blank" >RIV/00216305:26220/17:PU123540 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7937601" target="_blank" >https://ieeexplore.ieee.org/document/7937601</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEK.2017.7937601" target="_blank" >10.1109/RADIOELEK.2017.7937601</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of Feature Performance in Gunshot Detection Depending on Noise Degradation
Original language description
This paper compares three different features and various feature orders for the purpose of determining the best feature for gunshot detection under adverse noise condition. Compared features cover LPC, LPCC and MFCC with orders from 8 to 30. All features were extracted from sounds with the sound-to-noise ratios 30, 20, 10, and 0 dB. The background noise was simulated by white noise. Experimental results indicate that LPC coefficients are the most efficient features, especially for low noise. On the other hand, MFCC performed well in noisy environments at 10 dB and 20 dB.
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
20201 - Electrical and electronic engineering
Result continuities
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
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 27th International Conference Radioelektronika 2017
ISBN
978-1-5090-4591-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
223-226
Publisher name
Neuveden
Place of publication
Brno
Event location
Brno (Czech Republic)
Event date
Apr 19, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000414280400043