A database linking piano and orchestral MIDI scores with application to automatic projective orchestration

Abstract

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.

A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions

“…It contains 392 MIDI files, which are grouped in pairs containing a piano score and its orchestral version. In order to facilitate the research work, crestel et al [318] provided a pre-computed pianoroll representation. In addition, they also proposed a method to automatically align piano scores and their corresponding orchestral arrangements, resulting in a new version of MIDI database.…”