Using a Neural Network to Convert a Radio Signal from an RTL-SDR Receiver to Text

Voice recognition technology is now becoming increasingly popular. By translating an oral speech into text, people receive information for study, presented in a convenient format for working with it. This article deals in detail with interaction with RTL-SDR to obtain a digital signal with recording radio conversations and further converting them into a text document. The aim of the study is to find and implement a method that effectively solves the above-mentioned tasks. The problems associated with a large amount of audio information, which takes up a lot of memory resources for processing, are analyzed. The use of a neural network as a means of recognizing audio information is considered: this method provides the optimal way to obtain a finished text document while minimizing the steps of work and its execution time. The results obtained are analysed and conclusions are drawn on the further development of the study.