| Abstract [eng] |
Nowadays more and more people use smartphones which replaces more word done with personal computer (e-mail checking, e-shopping, etc.). In these devices more and more functions could be done with voice (open apps and other), but still only in english and some other languages. Therefore, in out work we will investigate Lithuanian speech recognition task in iOS (one of the major smartphones and tablets platforms), which runs in Apple's mobile devices. In this work we investigate CMU Sphinx and Julius libraries use in iOS devices for Lithuanian speech recognition. For this task LSR framework was created which encapsulated CMU Sphinx and Julius realisation nuances under Objective-C interfaces. Experiments were performed with numbers from 0 to 9 corpus and recognition accuracy and speed were investigated. |
