Silah Sesleri Kullanılarak Ateşli Silahların Sınıflandırılmasında Akustik Parametrelerin Etkisi

Year 2018, Volume: 6 Issue: 2, 462 - 469, 30.06.2018

Turgut Özseven , Muharrem Düğenci

https://doi.org/10.29109/http-gujsc-gazi-edu-tr.371275

Abstract

Ateşli
silahlarla ilgili eylemler hem güvenlik güçleri hem de halk için artan bir endişe
kaynağıdır. Silah seslerinin sınıflandırılması için ticari veya deneysel
çeşitli çalışmalar mevcuttur. Bu çalışmanın amacı silah seslerini kullanarak
ateşli silahların türünü tespit etmede akustik analizin etkilerinin
incelenmesidir. Çalışmada 23 ateşli silaha ait 510 atış ses kaydı
kullanılmıştır. Akustik analiz için formant frekansları, MFCC, LPCC ve enerji
parametreleri incelenmiştir. Akustik parametrelerin silahları sınıflandırmadaki
etkinliği istatistiksel olarak analiz edilmiş ve kullanılan tüm parametrelerin
etkili olduğu görülmüştür. MLP sınıflandırıcı ile sınıflandırma performansı
test edilmiş ve ateşli silah tanıma oranı %71.56 elde edilmiştir. Tanıma oranı
en yüksek silah türü “Carl Gustav M45” ve “Tokarev PPSh”, tanıma oranı en düşük
olan silah “Tikka Model T2” olarak tespit edilmiştir.

Keywords

Silah sesi tanıma, Silah türü sınıflandırma, Akustik analiz

The Impact of Acoustic Parameters on the Classification of Firearms Using Gunshots

Abstract

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.

Keywords

Gunshot recognition, Firearm Classification, Acoustic analysis

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