Hockman, J., Drysdale, J., 2025.
Latent Rhythm Transformation of Drum Recordings
| Output Type: | Conference paper |
| Publication: | 2025 AES International Conference on Artificial Intelligence and Machine Learning for Audio: Late Breaking Demos and Papers |
| Venue: | Queen Mary University of London, UK |
| Publisher: | Audio Engineering Society |
| Dates: | 8/9/2025 - 10/9/2025 |
| URL: | aes2.org/event-extra/2025-aes-international-conference-on-artificial-intelligence-and-machine-learning-for-audio-latebreaking |
| Pagination: | pp. 8-10 |
A method is proposed for rhythm style transfer of multitimbral drum recordings via conditioning a VAE on
rhythm and timbral features. Modulation and estimation of latent parameters and a novel resequencing process for
reconstruction loss result in an end-to-end transformation circumventing manual segmentation and alignment.