This portal has been archived. Explore the next generation of this technology.

Anticipation in collaborative music performance using fuzzy systems: a case study

lib:27e2498995084287 (v1.0.0)

Authors: Oscar Thörn,Peter Fögel,Peter Knudsen,Luis de Miranda,Alessandro Saffiotti
ArXiv: 1906.02155
Document:  PDF  DOI 
Abstract URL: https://arxiv.org/abs/1906.02155v1


In order to collaborate and co-create with humans, an AI system must be capable of both reactive and anticipatory behavior. We present a case study of such a system in the domain of musical improvisation. We consider a duo consisting of a human pianist accompained by an off-the-shelf virtual drummer, and we design an AI system to control the perfomance parameters of the drummer (e.g., patterns, intensity, or complexity) as a function of what the human pianist is playing. The AI system utilizes a model elicited from the musicians and encoded through fuzzy logic. This paper outlines the methodology, design, and development process of this system. An evaluation in public concerts is upcoming. This case study is seen as a step in the broader investigation of anticipation and creative processes in mixed human-robot, or "anthrobotic" systems.

Relevant initiatives  

Related knowledge about this paper Reproduced results (crowd-benchmarking and competitions) Artifact and reproducibility checklists Common formats for research projects and shared artifacts Reproducibility initiatives

Comments  

Please log in to add your comments!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!