Investigation of noisy audio recordings of speech for processing in an automated system

This article discusses the possibility of processing sound from noise using a neural network that works with image recognition. To make sure of this, spectrograms of the recorded voice of the speaker with a duration of 10 seconds and spectrograms with white noise superimposed on the recorded audio track were considered. After analyzing the noisy audio track by a sub-jective method (listening to the audio track) and analyzing the spectrograms of the noisy audio track, it was revealed that the neural network will be able to recognize the differences in the images on which the noise is visible. This is necessary in order to further train the neural net-work to recognize the noise intensity of the audio track.