Research & Publications

Generative Electronica Research Project

From 2010 to 2015ish I was a research assistant at Simon Fraser University's Metacreation Lab. Here is quote about the project from the metacreation lab's website.

"GERP generates stylistically valid EDM using human-informed machine-learning. We have employed experts (mainly Chris Anderson) to hand-transcribe 100 tracks in four genres: Breaks, House, Dubstep, and Drum and Bass. Aspects of transcription include musical details (drum beats, percussion parts, bass lines, melodic parts), timbral descriptions (i.e. “low synth kick, mid acoustic snare, tight noise closed hihat”), signal processing (i.e. the use of delay, reverb, compression and its alteration over time), and descriptions of overall musical form. This information is then compiled in a database, and machine analysed to produce data for generative purposes."

"Two different systems have been created to interpret this data: GESMI (created by Arne Eigenfeldt/loadbang) and GEDMAS (created by Chris Anderson/Pittr Patter). GEDMAS began producing EDM tracks in June 2012, while GESMI produced her first fully autonomous generation in March 2013. It is interesting to note the similarities of the systems (due to the shared corpus) and the differences (due to the different creative choices made in the implementation)."


The Generative Electronic Dance Music Algorithmic System (GEDMAS).
Anderson, Christopher, Eigenfeldt, Arne, and Pasquier, Philippe. Proceedings of the Second International Workshop on Musical Metacreation (MUME-2013), in conjunction with the Ninth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-13), 2013 PDF

A New Analytical Method For The Musical Study of Electronica.
Anderson, Christopher, and Eigenfeldt, Arne. Proceedings of the Electroacoustic Music Studies Conference, Sforzando! New York, June 2011. PDF