HISE Logo Forum
    • Categories
    • Register
    • Login

    Neural Amp Modeler (NAM) in HISE

    Scheduled Pinned Locked Moved General Questions
    17 Posts 10 Posters 1.0k Views
    Loading More Posts
    • Oldest to Newest
    • Newest to Oldest
    • Most Votes
    Reply
    • Reply as topic
    Log in to reply
    This topic has been deleted. Only users with topic management privileges can see it.
    • S
      southfieldsound
      last edited by

      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!

      A 1 Reply Last reply Reply Quote 0
      • d.healeyD
        d.healey
        last edited by

        I think that's what the neural node is for - https://docs.hise.dev/scripting/scripting-api/neuralnetwork/index.html

        Libre Wave - Freedom respecting instruments and effects
        My Patreon - HISE tutorials
        YouTube Channel - Public HISE tutorials

        1 Reply Last reply Reply Quote 2
        • A
          aaronventure @southfieldsound
          last edited by

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

          Link Preview Image
          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...

          favicon

          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.

          S 1 Reply Last reply Reply Quote 3
          • S
            southfieldsound @aaronventure
            last edited by

            @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!!

            1 Reply Last reply Reply Quote 0
            • ?
              A Former User
              last edited by

              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

              B 1 Reply Last reply Reply Quote 1
              • B
                Ben Catman @A Former User
                last edited by

                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!

                A 1 Reply Last reply Reply Quote 0
                • A
                  aaronventure @Ben Catman
                  last edited by

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

                  B FortuneF 2 Replies Last reply Reply Quote 0
                  • B
                    Ben Catman @aaronventure
                    last edited by

                    @aaronventure

                    🀞

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

                    1 Reply Last reply Reply Quote 0
                    • FortuneF
                      Fortune @aaronventure
                      last edited by

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

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

                      What will happen in January?

                      A 1 Reply Last reply Reply Quote 0
                      • A
                        aaronventure @Fortune
                        last edited by

                        @Fortune Chris will be resuming work on HISE.

                        Christoph HartC 1 Reply Last reply Reply Quote 0
                        • Christoph HartC
                          Christoph Hart @aaronventure
                          last edited by

                          @aaronventure actually Iβ€˜ve already implemented NAM on a local branch of HISE but itβ€˜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 KorneffD orangeO 2 Replies Last reply Reply Quote 3
                          • Dan KorneffD
                            Dan Korneff @Christoph Hart
                            last edited by

                            @Christoph-Hart January 1st or 2nd? πŸ˜‚πŸ˜‚πŸ˜‚

                            Dan Korneff - Producer / Mixer / Audio Nerd

                            Christoph HartC 1 Reply Last reply Reply Quote 0
                            • orangeO
                              orange @Christoph Hart
                              last edited by 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.

                              develop Branch / XCode 13.1
                              macOS Monterey / M1 Max

                              1 Reply Last reply Reply Quote 0
                              • Christoph HartC
                                Christoph Hart @Dan Korneff
                                last edited by

                                @Dan-Korneff more like January 17th..

                                Dan KorneffD 1 Reply Last reply Reply Quote 1
                                • Dan KorneffD
                                  Dan Korneff @Christoph Hart
                                  last edited by

                                  @Christoph-Hart
                                  giphy.gif

                                  πŸ˜… πŸ˜… πŸ˜…

                                  Dan Korneff - Producer / Mixer / Audio Nerd

                                  1 Reply Last reply Reply Quote 1
                                  • S
                                    Sclass
                                    last edited by

                                    Any updates?

                                    Christoph HartC 1 Reply Last reply Reply Quote 0
                                    • Christoph HartC
                                      Christoph Hart @Sclass
                                      last edited by

                                      @Sclass nope, working on other stuff.

                                      1 Reply Last reply Reply Quote 1
                                      • First post
                                        Last post

                                      49

                                      Online

                                      1.7k

                                      Users

                                      11.7k

                                      Topics

                                      102.2k

                                      Posts