Neural Amp Modeler (NAM) in HISE

[aaronventure]

@southfieldsound Not yet implemented but could be soon - follow this thread

Simple ML neural network

@orange Jatin said in the GitHub issue that he's thinking about adding the wavenet model to RTNeural, when that's the case, I'll resume the work to support N...

Forum (forum.hise.audio)

This is the latest development: https://github.com/jatinchowdhury18/RTNeural-NAM

Now we wait for Christoph to sound off on whether he can work with this.

[southfieldsound]

@aaronventure that's great news. Just went through the whole thread -- I wonder if it would be possible to get this set up in HISE now, especially after the recent updates from Jatin. @Christoph-Hart would this be simple enough to add to HISE with Jatin's contributions? If not, would anyone be able to point me in the right direction as to next steps to get NAM distortion profiles up and running in HISE? Thank you!!

[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.