Implementation of expressive performance rules on the WF-4RIII by modeling a professional flutist performance using NN

Jorge Solis*, Kei Suefuji, Koiehi Taniguchi, Takeshi Ninomiya, Maki Maeda, Atsuo Takanishi

*この研究の対応する著者

研究成果: Conference contribution

16 被引用数 (Scopus)

抄録

In this paper, the methodology for automatically generating an expressive performance on the anthropomorphic flutist robot is detailed. A feed-forward network trained with the error back-propagation algorithm was implemented to model the performance's expressiveness of a professional flutist. In particular, the note duration and vibrato were considered as performance rules (sources of variation) to enhance the robot's performance expressiveness. From the mechanical point of view, the vibrato and lung systems were re-designed to effectively control the proposed music performance rules. An experimental setup was proposed to verify the effectiveness of generating a new score with expressiveness from a model created based on the performance of a professional flutist. As a result, the flutist robot was able of automatically producing an expressive performance similar to the human one from a nominal score.

本文言語English
ホスト出版物のタイトル2007 IEEE International Conference on Robotics and Automation, ICRA'07
ページ2552-2557
ページ数6
DOI
出版ステータスPublished - 2007 11月 27
イベント2007 IEEE International Conference on Robotics and Automation, ICRA'07 - Rome, Italy
継続期間: 2007 4月 102007 4月 14

出版物シリーズ

名前Proceedings - IEEE International Conference on Robotics and Automation
ISSN(印刷版)1050-4729

Conference

Conference2007 IEEE International Conference on Robotics and Automation, ICRA'07
国/地域Italy
CityRome
Period07/4/1007/4/14

ASJC Scopus subject areas

  • ソフトウェア
  • 制御およびシステム工学
  • 人工知能
  • 電子工学および電気工学

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