The Impact of Acoustic Parameters on the Classification of Firearms Using Gunshots
Journal Title: Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji - Year 2018, Vol 6, Issue 2
Abstract
Acoustic analysis is mainly used in material science and human voice. In recent years, many areas such as sound perception, gun and shooter detection, unmanned aerial vehicles have been used in the defense industry. Actions related to firearms are an increasing source of concern for both security forces and the public. There are various commercial or experimental studies for the classification of gunshots. The purpose of this study is to examine the effects of acoustic analysis on the detection of firearms by using gunshots. In the study, 511 gunshots recordings of 23 firearms were used. The formant frequencies, MFCC, LPCC and energy parameters for acoustic analysis are examined. The effectiveness of the acoustic parameters in classifying the weapons was analyzed statistically and all the parameters used were found to be effective. The classification performance was tested with the MLP classifier and the firearm recognition rate was 71.56%. The “Carl Gustav M45-b” and “Tokarev PPSh” was identified as the weapon with the highest recognition rate and the lowest “Tikka Model T3” recognition rate.
Authors and Affiliations
Turgut ÖZSEVEN, Muharrem DÜĞENCİ
Keywords
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- EP ID EP490340
- DOI 10.29109/http-gujsc-gazi-edu-tr.371275
- Views 97
- Downloads 0
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