Here is the original paper from 2019 by Eero-Pekka Damskägg- https://research.aalto.fi/en/publications/realtime-modeling-of-audio-distortion-circuits-with-deep-

Here is the original paper from 2019 by Eero-Pekka Damskägg- https://research.aalto.fi/en/publications/realtime-modeling-of-audio-distortion-circuits-with-deep-learning(5f5abe8a-9875-40a0-8e27-39109077f4e3).html https://research.aalto.fi/en/publications/realtime-modeling-... It was also published as a realtime JUCE project, which might be more useful for actual (realtime VST/AU) use: https://github.com/damskaggep/WaveNetVA https://github.com/damskaggep/WaveNetVA Alec Wright has done more work on this since then, using it for amplifiers: https://www.aalto.fi/en/news/deep-learning-can-fool-listeners-by-imitating-any-guitar-amplifier https://www.aalto.fi/en/news/deep-learning-can-fool-listener... And time variant effects: https://github.com/Alec-Wright/NeuralTimeVaryFx https://github.com/Alec-Wright/NeuralTimeVaryFx