Computer-assisted Orchestration
Computer-Assisted Orchestration is an academic method within the field of Orchestration Analysis that employs computational models and algorithms to support, enhance, or automate the process of assigning musical parts to instruments, distinguishing it from traditional manual orchestration by integrating data-driven or rule-based systems for timbral synthesis, voicing, and instrumentation decisions.
18
Publications
390
Citations
56
Authors
34
Institutions
Publications per year
2017–2026
4
Variants
Computer-aided Orchestration
Parents
18
Music Plus One and Machine Learning
Christopher Raphael · 2010 · 55 citations
The Man and Machine Robot Orchestra at Logos
Laura Maes, Godfried‐Willem Raes, Troy Rogers · Computer Music Journal · 2011 · 41 citations · Full text
On Computer-Assisted Orchestration
Yan Maresz · Contemporary Music Review · 2013 · 21 citations
Humanities, Musicology, Acoustics +14
1–5 of 18
56
Institut de Recherche et Coordination Acoustique Musique, France
4 publications · 56 citations
4
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 56
34

Institut de Recherche et Coordination Acoustique Musique
Paris, France
5 h-index
12 publications
165 citations
Stanford University
Stanford, United States
3 h-index
3 publications
41 citations
Sciences et Technologies de la Musique et du Son
Paris, France
2 h-index
3 publications
36 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
90 citations

University of Toronto
Toronto, Canada
2 h-index
2 publications
101 citations

Technische Universität Darmstadt
Darmstadt, Germany
2 h-index
2 publications
24 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
14 citations

Supélec
Gif-sur-Yvette, France
1 h-index
5 publications
135 citations
1–8 of 34
3 publications · 70 citations
3
h-index
1 publications · 15 citations
1
h-index
1 publications · 16 citations
1
h-index
Repository · 1 publications · 10 citations
1
h-index
1 publications · 13 citations
1
h-index
1–5