Statistical relational artificial intelligence for assisted orchestration

Abstract: 

The aim of this project is to contribute to the development of new strategies and technologies for music processing, and specifically for Assisted Orchestration (AO).  The project builds on current work carried out in each team to assemble the necessary technical infrastructure, create tools, and conduct the analysis for the development of techniques for AO.

Carmine Emanuele Cella

UC PI: 
Carmine Emanuele Cella
Department of Music / Center for New Music and Audio Technologies (CNMAT), UC Berkeley

Hélène-Camille Crayencour

France PI: 
Hélène-Camille Crayencour
CNRS / Université Paris-​Saclay

Author: 
Carmine Emanuele Cella
Hélène-Camille Crayencour
Publication date: 
July 1, 2021
Publication type: 
Funded Project