This demo will illustrate the creation of algorithmic melodies using the Euterpea library for music representation and creation in Haskell. The music created will build incrementally from very direct interpretations of random number sequences to more structured phrases built on stochastically recurring patterns. Exploring these tasks within the context of Eutepea will provide a walkthrough of the library’s basic features for score-level algorithmic composition.

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. Donya is also the active maintainer of the Euterpea library for music representation in Haskell and is part of the MUSICA project, which is part of the DAPRA Communicating with Computers program and focuses on development of interactive systems in the musical domain.