3946196
doi
10.5281/zenodo.3946196
oai:zenodo.org:3946196
user-iclc
Shawn Lawson
Rensselaer Polytechnic Institute
Cibo: An Autonomous TidalCyles Performer
Jeremy Stewart
Rensselaer Polytechnic Institute
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>The authors created a sequence-to-sequence style neural net algorithm to autonomously perform TidalCycles. This paper outlines how this approach is distinct from other styles of automatic sound and score generators, describes in detail the implementation of the algorithm, asks some philosophical questions, and speculates on related future research.</p>
Medialab Prado / Madrid Destino
2019-01-16
info:eu-repo/semantics/conferencePaper
3946195
user-iclc
1596468694.152892
147965
md5:e0b18677ccae8709e19113a99ab3339f
https://zenodo.org/records/3946196/files/paper101.pdf
public
10.5281/zenodo.3946195
isVersionOf
doi
Proceedings of the Fourth International Conference on Live Coding
978-84-18299-08-7
353
Madrid, Spain
2019-01-16