Neural Amp Modeler in HISE
-
I was trying to build my own plugin in HISE, with Neural Amp Modeler in the background... Like NAM Universal... I mean the concept is like NAM Universal, the actual plugin logic is different.
I saw a few threads on different uses of NAM in HISE... But a lot of replies below them seemed to insinuate there's a better way of implementing NAM to HISE that's going to be added.
What I want to know is that, what's the latest news on that? What is the best way, currently, to implement NAM?
My plugin idea: A pre-amp emulation. I have 101 models, from 0.nam to 100.nam that correspond to each turn on the preamp gain knob (gain compensated). I want a main drive knob in the plugin where, when I increment the drive knob, it unloads the current model while loading the next model.
An absolute beginner in C++ coding here. Can someone help me?