Speech Recognition using Linear Predictive Coding (LPC) and Adaptive Neuro-Fuzzy (ANFIS) to Control 5 DoF Arm Robot

Abstract

This research shows the implementation of speech recognition to control arm robot. The method to identify the speech recognition using Linear Predictive Coding (LPC) and Adaptive Neuro-Fuzzy Inference System (ANFIS). LPC method used to feature extraction the signal of speech and ANFIS method used to learn the speech recognition. The data learning which used to ANFIS processed are 6 features. The examination system of speech identification using trained and not trained data. The result of the research shows the successful grade for trained speech data is 88.75% and not trained data is 78.78%. Identification of speech recognition system was applied to controlled arm robot based on Arduino microcontroller.