IMPROVED SPEECH RECOGNITION METHOD FOR DEVELOPING A VOICE CONTROL SYSTEM

Amiraslanov Elmar HeydarOgly, Saradgishvili Sergei Erickovich, Leontieva Tatyana Vladimirovna

This paper discusses the issue of creating a voice control system, comparing modern recognition methods, and identifying the most effective and less resource-intensive approaches. Consideration of the issue of effective evaluation of these methods is one of the fundamental ones. The article also presents preliminary results of the developed system.

Keywords:speech recognition, hidden markov models, acoustic model, ASR