2023/01/28 by Matthew Mccloskey, Mccloskey, Matthew, Gabrielle Curcio +7
Computer Science · Engineering · #Audio and Speech Processing (eess.AS) #BIM and Construction Integration #FOS: Computer and information sciences #FOS: Electrical engineering #Multimedia (cs.MM) #Music Technology and Sound Studies #Music and Audio Processing #Sound (cs.SD) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2301.12084
openalex publication_date 2023/01/28 · openalex created_date 2023/02/02 · openalex updated_date 2026/08/01
Arranging music for a different set of instruments that it was originally written for is traditionally a tedious and time-consuming process, performed by experts with intricate knowledge of the specific instruments and involving significant experimentation. In this paper we study the problem of automating music arrangements for music pieces written for monophonic instruments or voices. We designed and implemented an algorithm that can always produce a music arrangement when feasible by transposing the music piece to a different scale, permuting the assigned parts to instruments/voices, and transposing individual parts by one or more octaves. We also published open source software written in Python that processes MusicXML files and allows musicians to experiment with music arrangements. It is our hope that our software can serve as a platform for future extensions that will include music reductions and inclusion of polyphonic instruments.