Hi,
maybe this is interesting for someone or other:
https://github.com/fps/TackleboxModeling.jl
Neural Amplifier modeling inspired by Jim Lil's "Tacklebox" [1]. This is
not polished code at all. I was just interested if this simplistic
approach to amp modeling somehow transfers to artificial neural networks.
In short: It seems to work ok and allows an efficient implementation
using partitioned convolution which the included LV2 plugin shows.
Kind regards,
FPS
[1] https://www.youtube.com/watch?v=wcBEOcPtlYk ("Tested: Where Does The
Tone Come From In A Guitar Amplifier?"). Especially:
https://youtu.be/wcBEOcPtlYk?t=719
