Neural Amp Modeler (NAM) in HISE

[A Former User]

I've just started using NAM in my own music and it's seriously impressive

it looks like the RTneural implementation is using a pretty standard wavenet setup that works on a sample-by-sample level so it should be pretty easy to port over once it's ready, basically just a "more specific" neural node, it might even already be possible to use the regular neural node for it if you know how to import the weights

[Ben Catman]

Any new with Neural Amp Modeler in Hise ? I have started training models on my excessive collection of guitar pedals, and i postulate - there is little to none difference. It is just awesome!

[aaronventure]

@Ben-Catman we're all holding our breath until January.

[Ben Catman]

@aaronventure

Wow, that would be SO awesome! Can provide you with some quite nice models then :)

[Fortune]

@aaronventure said in Neural Amp Modeler (NAM) in HISE:

@Ben-Catman we're all holding our breath until January.

What will happen in January?

[aaronventure]

@Fortune Chris will be resuming work on HISE.

[Christoph Hart]

@aaronventure actually I‘ve already implemented NAM on a local branch of HISE but it‘s not stable yet and quite CPU intensive. I hope we get the CPU down to competitive speeds with other implementations but that has indeed to wait until January.

[Dan Korneff]

@Christoph-Hart January 1st or 2nd?

[orange]

@Christoph-Hart

In case it helps:

When I create Neural custom node and try to open it as Hardcoded FX, it doesn't work.

I had to embed the Neural network .json even with the Hardcoded FX too.

I thought maybe this was causing HISE to make extra efforts.

[Christoph Hart]

@Dan-Korneff more like January 17th..

[Dan Korneff]

@Christoph-Hart

[Sclass]

Any updates?

[Christoph Hart]

@Sclass nope, working on other stuff.

[Sclass]

@Christoph-Hart Still keeping an eye out for the NAM update :)