Title :
A leader-follower turn-taking model incorporating beat detection in musical human-robot interaction
Author :
Weinberg, Gil ; Blosser, Brian
Author_Institution :
Music Dept., Georgia Tech, Atlanta, GA, USA
Abstract :
This paper describes the implementation of a leader-follower model in a musical HRI based on beat detection analysis and a novel turn taking scheme. The project enables Haile, a robotic percussionist, to fluidly interact with humans in the context of an improvisatory jam session. The long-term goal of this work is to facilitate dynamic interactions between humans and machines that will lead to novel and inspiring musical outcomes.
Keywords :
acoustic signal detection; acoustic signal processing; human-robot interaction; music; Haile; acoustic input; beat detection analysis; fluid interaction; human-machine dynamic interaction; improvisatory jam session; leader-follower turn-taking model; musical HRI; musical human-robot interaction; musical input analysis; robotic percussionist; turn taking scheme; Analytical models; Context; Humans; Lead; Rhythm; Robots; Robotic musicianship; beat-detection; human-robot interaction; leader-follower paradigm; machine listening;
Conference_Titel :
Human-Robot Interaction (HRI), 2009 4th ACM/IEEE International Conference on
Print_ISBN :
978-1-60558-404-1
