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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Robotics and Automation, ICRA'07
Pages2552-2557
Number of pages6
DOIs
Publication statusPublished - 2007 Nov 27
Event2007 IEEE International Conference on Robotics and Automation, ICRA'07 - Rome, Italy
Duration: 2007 Apr 102007 Apr 14

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

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

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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  • Cite this

    Solis, J., Suefuji, K., Taniguchi, K., Ninomiya, T., Maeda, M., & Takanishi, A. (2007). Implementation of expressive performance rules on the WF-4RIII by modeling a professional flutist performance using NN. In 2007 IEEE International Conference on Robotics and Automation, ICRA'07 (pp. 2552-2557). [4209467] (Proceedings - IEEE International Conference on Robotics and Automation). https://doi.org/10.1109/ROBOT.2007.363849