NEAT Drummer: Interactive Evolutionary Computation for Drum Pattern Generation
نویسندگان
چکیده
A major challenge in computer generated music is breaking the barrier between musical novelty and musical quality. Typically, computer music generators produce either genre-specific patterns that lack innovation or patterns that are given too much freedom and lack cohesion. In an attempt to both constrain the musical search space and produce novel rhythms, a program called NEAT Drummer is introduced. NEAT Drummer evolves neural networks with the NeuroEvolution of Augmenting Topologies (NEAT) that produce compelling drum patterns. To constrain the musical search space, NEAT Drummer accepts a base rhythm or motif from the user and through Interactive Evolutionary Computation (IEC), complexifies that pattern with each successive generation. This paper discusses the concepts behind how NEAT Drummer understands and manipulates a base rhythm, which is either predefined by the user through a basic interface or defined by MIDI music file information.
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