[HTML][HTML] Dexter: Learning and controlling performance expression with diffusion models
In the pursuit of developing expressive music performance models using artificial
intelligence, this paper introduces DExter, a new approach leveraging diffusion probabilistic …
intelligence, this paper introduces DExter, a new approach leveraging diffusion probabilistic …
Generating Coherent Drum Accompaniment With Fills And Improvisations
R Dahale, V Talwadker, P Rao, P Verma - arXiv preprint arXiv:2209.00291, 2022 - arxiv.org
Creating a complex work of art like music necessitates profound creativity. With recent
advancements in deep learning and powerful models such as transformers, there has been …
advancements in deep learning and powerful models such as transformers, there has been …
Measure by Measure: Measure-based Automatic Music Composition with Modern Staff Notation
Y Yan, Z Duan - Transactions of the International Society for Music …, 2024 - par.nsf.gov
Measure by Measure: Measure-based Automatic Music Composition with Modern Staff Notation
(Journal Article) | NSF PAGES skip to main content NSF PAR Home Contact FAQ NSF Public …
(Journal Article) | NSF PAGES skip to main content NSF PAR Home Contact FAQ NSF Public …
[PDF][PDF] Analysis of Roll Performance on Snare Drum using Motion Capture System
M Miura - Forum Acusticum, 2023 - dael.euracoustics.org
This paper introduces a recording experiment for snare drum roll performance using a
motion capture system. The roll performance is known to be a tremolo to produce a …
motion capture system. The roll performance is known to be a tremolo to produce a …
[图书][B] Creating and Collecting Meaningful Musical Material with Machine Learning
J Gillick - 2022 - search.proquest.com
This dissertation explores how machine learning and artificial intelligence can be applied
within music composition and production. My approach in this research stems from an …
within music composition and production. My approach in this research stems from an …