Autonomous vowels sequence reproduction of a talking robot using PARCOR coefficients

The main focus of this study is to develop an automatic vowels sequence reproduction system for a talking robot, which is built to reproduce human voice based on the working behavior of human articulatory system. The control system using Matlab software to drive the articulatory motors of the talking robot. A sound analysis system is developed to record a sentence spoken by a human (mainly vowels sequence in Japanese language) and then analyze that sentence to give the corrected command packet for the talking robot to repeat it. Partial Correlation (PARCOR) coefficients analysis is used to detect the similar voice in the talking robot's database with the spoken voice; thus, the generated vocal sound of the talking robot will be the similar vowels sequence spoken by human. Finally, two tests to verify the working behavior of the robot are performed. The result of the tests indicate that the robot can be able to repeat a sequence of vowels spoken by human with an average successful rate more than 70%.