Tandava is an algorithmic composition using the Kulitta framework for automated composition, which uses generative grammars and geometric models to create music from scratch. While Kulitta was originally developed to emulate traditional classical music, such as chorales in the style of J.S. Bach, Tandava was an exploration in breaking down the barriers of strict 4/4 metrical structure that Kulitta had been confined to for many years. The generative grammars in this piece mix divisions of two and three at many temporal levels, resulting in complex, syncopated rhythms. An initial score for this piece was created using this extension to Kulitta, with the various sections being rendered through largely percussive virtual instruments. The audio renderings from this were then further manipulated with granular synthesis and then overlain across the original score to provide background textures.
Donya Quick is a research assistant professor in Music and Computation at Stevens Institute of Technology. Her research explores the intersection of artificial intelligence and computational linguistics with music. She completed her PhD at Yale University, where the subject of her work was an automated composition system called Kulitta. In addition to continuing work on Kulitta, Donya is also involved in the MUSICA project for interactive improvisation and composition by conversation, which is part of the DAPRA Communicating with Computers program.