Implementation of MFCC and SVM for Voice Command Recognition as Control on Mobile Robot

The mobile robot is a system that can move according to function and task. An example an industrial taking objects using remote control system. Robots controlled manual are generally carried out on robots. Many researchers have developed methods, such as image or sound-based control. In this study, the was applied in unobstructed room voice commands. methods used Mel-Frequency Cepstral Coefficients (MFCC) Support Vector Machine (SVM). MFCC characteristic identification of command patterns “forward”, “backward”, “left”, “right”, “stop.” SVM recognize based value for each pattern. experiment has been 50 times with success rate 96%. Overall be by commands good movement.