Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
R. Vogl, H. Eghbal-Zadeh, G. Widmer, P. Knees:
"GANs and Poses: An Interactive Generative Music Installation Controlled by Dance Moves";
Poster: 19th International Society for Music Information Retrieval Conference: Interactive Machine-Learning for Music @Exhibition,
Paris, France;
23.09.2018
- 27.09.2018; in: "19th International Society for Music Information Retrieval Conference: Interactive Machine-Learning for Music @Exhibition",
(2018),
5 S.
Kurzfassung englisch:
GANs and Poses is an interactive multi-media installation using human poses to control artificial neural networks generating parts for a music arrangement. To provide incentive for interaction, a game-style UI rewards the audience with audio-visual feedback, which in turn drives the progress through the musical arrangement. This work uses a variety of artificial neural networks to (i) detect persons and their body posture, (ii) classify dance moves, and (iii) generate drum as well as melody patterns.
Elektronische Version der Publikation:
http://ismir2018.ircam.fr/doc/pdfs2/vogl.pdf
Zugeordnete Projekte:
Projektleitung Peter Knees:
SmarterJam
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.