TOWARDS AN AUTOMATED MUSIC TEACHING SYSTEM: AUTOMATIC RECOGNITION OF MUSICAL MELODIES USING THE WF-4R
Jorge Solis, K. Chida, K. Suefuji, Chiaki Arino, Atsuo Takanishi · University of Michigan Library Repository · 2005
In this paper, we are proposing to develop an autonomous system using our anthropomorphic flutist robot which can interact naturally with humans. Therefore; the robot requires not only the ability of reproducing the score, but also needs the ability of extracting the symbolic descriptions defined by human through its sensors; to be used for deciding the next action of the robot. In this year, we are presenting the improvement of the mechanical system and the addition of some cognitive functions (i.e. music recognition) implemented on the new version of the flutist robot, the WF-4R (Waseda Flutist No.4 Refined). Both, mechanical and cognitive issues added to the robot will aid to implement the proposed an automatic transfer skill system. An experimental setup is described in order to test the recognition system implemented. improvements to render a more natural interaction during the learning process. Thus, we should take into account both shape and mobility of the human and versatility of the human senses to enable the robot to act as a human does. Therefore, in this paper, the improvement of the mechanical design and the interaction system with humans is presented. Firstly, the mechanical design of the arm mechanism to improve the flute position accuracy will be described. Then, the introduction to the new transfer skill system architecture will be given, which is based on the addition of some basic cognitive functions. Finally, the implementation and evaluation of a melody recognition system based on the Hidden Markov Models (HMM) is detailed described. 1.