Noiselith generates sounds, rhythms, and musical structures algorithmically based on mathematical models and controlled randomness, revolutionizing the audio synthesis and music composition experience.
Noiselith is an audio synthesis and algorithmic music composition application developed by Mark Harrop. It focuses on the generative and automated creation of sounds, rhythms, and musical structures using mathematical models and controlled randomness.
At its core, Noiselith functions as a modular virtual synthesizer with components like oscillators, filters, and envelopes. What sets it apart is its emphasis on randomness, probability, and mathematical sequences to drive the parameters of the synth modules over time.
This allows Noiselith to create constantly evolving sonic textures, rhythmic patterns, and musical phrases in a hands-off automated fashion. The randomness can be constrained with things like probabilistic weights and boundary conditions for more controlled results.
In addition to the real-time audio synthesis, Noiselith also includes extensive tools for rendering the generative output to audio files. The rendered audio can then be imported into DAWs for further editing and manipulation.
Some of the mathematical models that drive Noiselith's algorithms include Chaos Theory equations like Lorenz and Rossler systems, random walks, Markov chains, grid-based cellular automata, and more.
Noiselith excels at creating ambient textures, evolving soundscapes, and drum/percussion patterns by harnessing controlled randomness and algorithmic processes. The hands-off approach to synthesis and composition leads to unexpected and often serendipitous sonic results.
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