A database linking piano and orchestral MIDI scores with application to automatic projective orchestration
This work addresses the problem of automating orchestration for musicians and composers, but it is incremental as it focuses on database creation and task definition rather than novel algorithmic breakthroughs.
The authors tackled the problem of automatic orchestration by introducing the Projective Orchestral Database (POD), a collection of MIDI scores linking piano scores to orchestrations, and demonstrated that this task can be addressed using learning methods with methodological guidelines.
This article introduces the Projective Orchestral Database (POD), a collection of MIDI scores composed of pairs linking piano scores to their corresponding orchestrations. To the best of our knowledge, this is the first database of its kind, which performs piano or orchestral prediction, but more importantly which tries to learn the correlations between piano and orchestral scores. Hence, we also introduce the projective orchestration task, which consists in learning how to perform the automatic orchestration of a piano score. We show how this task can be addressed using learning methods and also provide methodological guidelines in order to properly use this database.