IU IncubatorAMO
Automatic Music Orchestration with Machine Learning/AI
Projektbeschreibung
AMO is about automatic music orchestration with machine learning methods, with the following research questions:
How do professional orchestrators work?
What are the pain points in the current orchestration process?
Can we automatically learn to orchestrate in a specific style without human expert intervention? for example, can we automatically orchestrate the same piece in the style of Beethoven or in the style of Mozart?
What are the best machine learning methods for automatic orchestration?
Dauer des Projekts
September 2024 – August 2026
Weitere Infos
IU Incubator
Prof. Dr. -Ing. Gissel Velarde, Project Manager, Principal Investigator, Professor of Artificial Intelligence, gissel.velarde@iu.org
Prof. Dr. Niel Bretana, Principal Investigator, Professor of Data Management, neil-arvin.bretana@iu.org
Prof. Dr. Florian Schneider, Principal Investigator, Professor of Mathematics, florian.schneider@iu.org
Velarde, G. (2023). Artificial Era & the AI-Orchestration of Angels.
https://www.youtube.com/watch?v=7jEyakpjSQc. (Accessed 31.January.2024)
AMO Incubator: Automatic Music Orchestration with Machine Learning / AI (YouTube)
