Journal of Robotics, Networking and Artificial Life

Volume 7, Issue 1, June 2020, Pages 73 - 76

The Research about Editing System of Performance Information for Player Piano

Authors
Mami Ezaki*, Eiji Hayashi
Department of Intelligent and Control Systems, Kyushu Institute of Technology, 680-4, Kawazu, Iizuka-City, Fukuoka, 820-8502, Japan
*Corresponding author. Email: ezaki@mmcs.mse.kyutech.ac.jp
Corresponding Author
Mami Ezaki
Received 6 November 2019, Accepted 26 March 2020, Available Online 20 May 2020.
DOI
10.2991/jrnal.k.200512.015How to use a DOI?
Keywords
Automatic piano; knowledge database; computer music; music interface
Abstract

We have developed a system that allows a piano to perform automatically. In order to play music in the manner of a live pianist, we must add expression to the piano’s performance. In the case of music, there are often 1000 or more notes in the score, requiring that an editor spend a huge amount of time to edit. Therefore, we have developed an interactive musical editing system that utilizes a database to edit music more efficiently.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
7 - 1
Pages
73 - 76
Publication Date
2020/05/20
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.k.200512.015How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Mami Ezaki
AU  - Eiji Hayashi
PY  - 2020
DA  - 2020/05/20
TI  - The Research about Editing System of Performance Information for Player Piano
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 73
EP  - 76
VL  - 7
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.200512.015
DO  - 10.2991/jrnal.k.200512.015
ID  - Ezaki2020
ER  -