CONCLUSIONS
Neural networks allow the discrimination, with a low error rate, between guns and munitions, based on the recorded shot sound, with a small number of classes. The final objective is to allow high recognition rates for a number of classes (arms, munitions and shooting environments) big enough so as to allow the use of the method as part of an actual, robust and simple, security system.