Silah Sesleri Kullanılarak Ateşli Silahların Sınıflandırılmasında Akustik Parametrelerin Etkisi

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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