Projects

This project seeks to create novel representations, machine learning and analysis techniques to establish a scientific basis for musical orchestration practice. The objectives are to provide computational analyses of orchestration practice and perception (through well-known but under-defined orchestral effects) by developing innovative machine learning algorithms in order to understand higher-level perceptual effects, but also to obtain a rich pedagogical knowledge

The ACTOR partnership is the first project to analyze musical orchestration in all of its complexity by regrouping mathematicians, computer scientists, psychologists, composers and performers to analyze orchestral pieces in all their representations (signal, spectrum and scores). We aim to construct the first-ever theory of musical orchestration, through an online orchestration treatise