OM-DYCI2 is a framework for interactive generation of musical sequences combining generative agents and computer-assisted composition tools. It enables guiding corpus-based generative processes through explicit specifications of temporal structures, or using another layer of generative models trained on a corpus of structures.

OM-DYCI2 is the compositional declination of the Max DYCI2 library dedicated to interaction developped in the OM#/OM6 visual programming and computer-aided composition environments (Doc Python Library).

© Victoire Siguret, Jean Bresson, Jérôme Nika — STMS lab IRCAM / CNRS / Sorbonne Université, 2018. Contributions by Dionysios Papanikolaou and Mikhail Malt (2021).

OM-DYCI2 on GitHub.

CoRresponding REsearch Project