There have been many attempts to model the ability of human musicians to take a score and
perform or render it expressively, by adding tempo, timing, loudness and articulation …

This research revolves around the potential challenges, opportunities, and strategies
associated with humancentered generative artificial intelligence (AI) in the music …

Deep learning generative AI models trained on huge datasets are capable of producing
complex and high quality music. However, there are few studies of how AI Generated …

This study discusses the intricate relations between generative artificial intelligence (AI) and
music composers. Based on a previous rapid review of recent literature, it reinforces a gap …

Recent developments in the field of deep learning have steered research on music
generation systems towards a massive use of large end-to-end neural architectures. The …

In recent years, short-form videos have gained popularity and the editing of these videos,
particularly when motion is synchronized with music, is highly favored due to its beat …

Designing Live Human-AI Collaboration for Musical Improvisation Page 1 Designing Live
Human-AI Collaboration for Musical Improvisation NIC BECKER, Stanford University, USA …

We introduce Composer's Assistant 2, a system for interactive human-computer composition
in the REAPER digital audio workstation. Our work upgrades the Composer's Assistant …

The ability to creatively interact with and customise machine learning models is an ongoing
area of concern. This thesis proposes the design, implementation, and evaluation of the …

Die Anwendungsfelder im Bereich der künstlichen Intelligenz (KI) für co-kreative
Arbeitsprozesse wachsen stetig. Auch in die Musikproduktion haben intelligente Tools ihren …