GEDMAS

The Generative Electronic Dance Music Algorithmic System

The Generative Electronic Dance Music Algorithmic System (GEDMAS), stems from the Generative Electronica Research Project (GERP) of Simon Fraser University’s Metacreation, Agent and Multi-Agent Systems lab (MAMAS). GEDMAS generates full breakbeat style songs or tracks by probabilistically modelling a corpus of 24 fully produced breakbeat tracks. The tracks generated contain top-level song form structures created using: a 1st-order Markov model and bottom-level instrumental sequences based on the probabilistic models of the analyzed corpus.

Members: Chris Anderson, Arne Eigenfeldt.

Papers:

The Generative Electronic Dance Music Algorithmic System (GEDMAS) Anderson, Christopher 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

 

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