Harnessing the Computational Modelling of the Perception of Orchestral Effects for Computer-Aided Orchestration Tools

Recent developments in the field of computer-aided orchestration have provided interesting approaches for addressing some of the many orchestration challenges, supported by advances in computational capacities and artificial intelligence methods. Nevertheless, harnessing the many sides of this musical art, which involves combining the acoustic properties of a large ensemble of varied instruments, has not yet been achieved.