posted on 2022-01-28, 12:12authored byGareth Hawkins, Esyin Chew
Most past literatures surrounding musical robots has focused on either
the engineering design of physical robots that could produce musical sounds, or
on the mixed mechatronics aspects of algorithms enhancement to design robots
gaining musicianship skills. The recent combined both these research fields into
one is called Robotic Musicianship, which is innovative but with limited literatures. Robot musician involved sound peak beat detection techniques to enable
musical perception. Responding to the novelty demand, the study adapted design
approach of onset beat detection, blended with positivists’ philosophical approaches, and deductive principles associated with these philosophies were adhered to. The study aim to conduct a conceptual design and implement the drum
rudiment for a robotic assistant tutor to co-demo electronic snare drum. The design approach of onset beat detection is adapted. The fundamentals of this robot
prototype and rudiment work well, although many improvements can be done on
the functionality and fluidity, doing so should further enhance engagement and
musical development, and achieve the long-term goal to branch out to higher levels of education for music.
Hawkins G., Chew E. (2022) TOM: The Assistant Robotic Tutor of Musicianship with Sound Peak Beat
Detection. In: Ab. Nasir A.F., Ibrahim A.N., Ishak I., Mat Yahya N., Zakaria M.A., P. P. Abdul Majeed A.
(eds) Recent Trends in Mechatronics Towards Industry 4.0. Lecture Notes in Electrical Engineering, vol 730.
Springer, Singapore. https://doi.org/10.1007/978-981-33-4597-3_67