Can a virtual conductor create its own interpretation of a music orchestra?

TL;DR

This paper presents a virtual conductor that generates emotionally nuanced musical interpretations using machine learning, serving as an assisting tool to inspire human conductors and enrich musical performances.

Contribution

It introduces a novel virtual conductor system that creates emotionally driven interpretations, aiding human conductors without replacing them, based on survey data and machine learning.

Findings

Successfully generated emotionally associated interpretations

Reduced research time for new interpretations

Enhanced creative inspiration for conductors

Abstract

Having a computer do the work for you has become more and more common over time. But in the entertainment area, where a human is a creator, we want to avoid having too much influence on technology. On the other hand, inspiration is still important; we developed a virtual conductor that can generate an emotionally associated interpretation of known music work. This was done by surveying a set number of people to determine, which emotions were associated with a specific interpretation and instruments. As a result of machine learning this conductor was then able to achieve his goal. Unlike earlier studies of virtual conductors, which would replace the role of a human conductor, this new one is supposed to be an assisting tool for conductors. As a result, starting on a new interpretation will be easier because it streamlines research time and provides a technical perspective that can inspire new ideas. By using this technology as a supplement to human creativity, we can create richer, more nuanced interpretations of musical works.