Overview of current open solutions in the field of speech recognition

The purpose of this work is to review the most successful open solutions in the field of speech recognition and also considers the processes of speech recognition and the possibilities of their practical use. The paper presents classical solutions based on recurrent neural networks, as well as more modern ones, which use convolutional neural networks as a basis to remove noise and reduce dimensionality, and transformers that allow to memorize the context and work with the semantic meaning of sequences, regardless of time.