Application of Optimization and Simulation to Musical Composition that Emerges Dynamically during Ensemble Singing Performance

TL;DR

This paper introduces a novel approach called reality opera, where ensemble singing compositions are dynamically generated through optimization and simulation, capturing real-time emotional interactions among performers.

Contribution

It proposes a new method for composing ensemble singing performances that evolve dynamically based on performers' interactions and emotions, supported by technological integration and behavioral analysis.

Findings

Feasibility of reality opera demonstrated through example performance.

Behavioral analysis supports dynamic emotional emergence during performance.

Techniques enable real-time composition based on performer interactions.

Abstract

This paper presents and tests a new approach to composing for ensemble singing performance: reality opera. In the performance of such a composition, emotions of the singers are real and emerge as a consequence of their interactions and reaction and to a dynamic narrative. This paper gives background and motivation for the form, based on three key concepts, incorporating the use of technology. Then proposed techniques for creating reality opera are instantiated in an example, which is performed and a behavioral analysis done of performer reactions, leading to support for the feasibility of the reality opera concept.