Talks and Poster Presentations (with Proceedings-Entry):
H. Eghbal-Zadeh, R. Vogl, G. Widmer, P. Knees:
"A GAN based Drum Pattern Generation UI Prototype";
Poster: 19th International Society for Music Information Retrieval Conference: Late-Breaking Demos Session,
Paris, France;
2018-09-23
- 2018-09-27; in: "19th International Society for Music Information Retrieval Conference: Late-Breaking Demos Session",
(2018),
Paper ID 32,
2 pages.
English abstract:
Tools which support artists with the generation of drum tracks for music productions have gained popularity in recent years. Especially when utilizing digital audio workstations, using e.g. predefined drum loops can speed up drafting a musical idea. However, regarding variation and originality of drum patterns, methods based on generative models would be more suited for this task. In this work we present a drum pattern generation prototype based on a step sequencer interface which allows to explore the suitability of generative adversarial networks for this task
Keywords:
Drum Pattern Generation, Automatic Music Generation, Generative Adversarial Network, GAN, User Interface
Electronic version of the publication:
https://drive.google.com/open?id=12uktQ77d7MNyuQdOUfNKrT6zNIaJ-HeY
Related Projects:
Project Head Peter Knees:
SmarterJam
Created from the Publication Database of the Vienna University of Technology.