NEURON NETWORKS BASED ON ACOUSTIC MODELING OF SPEECH SIGNALS

Speech detection is a function of the technologies that enable voice access in a given system. Currently, along with traditional methods of inputting commands to technologies, such as pressing the buttons of a traditional device and sliding the screen, voice commands are also widely used. This approach provides convenience and efficiency for both hardware and software users. In this paper, effective methods for acoustic modeling of speech signals based on neural networks are investigated