Development of Control System for Opening and Closing Electrical Equipment with Thai Voice Command Using by K-Nearest Neighbor Technical

Abstract

The objectives of this special problem is development of an open-close control system for electrical equipment with Thai voice command using k-Nearest Neighbor(k-NN). Testing using find system's performance was developed by simulating the test site. This special problem uses the k-Nearest Neighborhood technique to classify speech differences. The process of the system, starting from the voice to cut into 3 parts, each of these components is characterized by the Mel Frequency Ceptral Coefficient. In the final process, the k-nearest neighborhood distinguishes features and identifies speech signals in different areas of speech. Evaluate the accuracy of the development of an open-close control system for electrical equipment with Thai voice command using k-Nearest Neighbor(k-NN), the accuracy is 89.4%. In conclusion, the development of the algorithm is good. And can be used to control opening and closing electrical equipment.