Neural Amp Modeler (NAM) in HISE
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I am working on a guitar amp modeling plugin (distortion profile + impulse response) and came across Neural Amp Modeler, which is open-source. I am wondering if I could integrate the code from Neural Amp Modeler into HISE, and if so, how? I apologize for my lack of understanding when it comes to scripting and navigating github/other resources, I started very recently and still trying to grapple with the basics.
I just need the distortion profile from NAM, not the profile switcher or IR loader. I believe I can use the built in HISE convolution tool to load impulse responses. Would it be possible to hardcode a specific .nam profile into a HISE plugin? Thank you all for your help!
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I think that's what the neural node is for - https://docs.hise.dev/scripting/scripting-api/neuralnetwork/index.html
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@southfieldsound Not yet implemented but could be soon - follow this thread
https://forum.hise.audio/post/87502
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.
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@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!!
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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
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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!
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@Ben-Catman we're all holding our breath until January.
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Wow, that would be SO awesome! Can provide you with some quite nice models then :)
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@aaronventure said in Neural Amp Modeler (NAM) in HISE:
@Ben-Catman we're all holding our breath until January.
What will happen in January?
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@Fortune Chris will be resuming work on HISE.
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@aaronventure actually Iβve already implemented NAM on a local branch of HISE but itβs 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.
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@Christoph-Hart January 1st or 2nd?
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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.
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@Dan-Korneff more like January 17th..
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