Musical Instruments Recognition App

The task of recognizing musical instruments is very relevant at the moment, as it has many different applications. In this paper we considered the practical application of an algorithm for recognizing musical instruments based on predictions of a convolutional neural network. It was a comparison of different methods of neural network predictions aggregation, which smooth errors of neural network and improve accuracy. The most optimal aggregation method was chosen to obtain information about the sounding instrument, and based on this method, an application was developed for mobile devices based on the Android operating system, which will allow its users to recognize sounding instruments even when they are away from home.