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http://dx.doi.org/10.6109/jkiice.2019.23.12.1738

Computer-Supported Piano Performance Science  

Roh, Kyeong Won (Department of Music, Inje University)
Eum, Hee Jung (Department of Music, Inje University)
Kim, Hee-Cheol (Department of Computer Engineering/IDA/u-HARC, Inje University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.12, 2019 , pp. 1738-1741 More about this Journal
Abstract
Music performance techniques have been primarily trained by apprenticeship. The technique transfer, which relies on the imitation of experience and actual performance without scientific evidence, required the pianists more time and effort than necessary. However, if the players in the field discover the principles of universally applicable piano playing techniques in collaboration with scientists, they will avoid errors and prepare a new paradigm in the development of piano playing techniques. This is why music performance science is needed. Little has been studied about it in Korea, but it has been activated abroad since the mid-1990s. The core science of music performance science is expected to be computer science fitting data analysis. In this paper, we introduce music performance science for the pianist and present how computer can help it.
Keywords
Artificial Intelligence; Computer Science; Music Performance Science; Performance Technique; Piano;
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