title: METHODS FOR EXTRACTION OF ACOUSTIC CHARACTERISTICS IN THE SPEECH RECOGNITION PROBLEM BY RECURRENT NEURAL NETWORKS WITH LONG SHORT-TERM MEMORY
abstract: The paper presents some methods for extracting features from an audio signal, the problem of recognizing Russian speech using a recurrent neural network LSTM are solved, the results of recognition for different acoustic features are analyzed.
journal: International Forum “Microelectronics – 2020”. Joung Scientists Scholarship “Microelectronics – 2020”. XIII International conference «Silicon – 2020». XII young scientists scholarship for silicon nanostructures and devices physics, material science, process and analysis