Guitar plugin made with JUCE that uses neural network models to emulate real world hardware.
See video demo here: https://www.youtube.com/watch?v=4zwZNa7Kwwo&t=58s
This plugin uses a WaveNet model to recreate the sound of real world hardware, such as a TS9 Tubescreamer or Blues Jr amp. Drive and Level are used for simple ways to control the sound. The WaveNet model is effective at emulating distortion style effects or tube amplifiers.
You can create your own models and load them in SmartGuitarPedal using the following Github repository:
https://github.com/keyth72/PedalNetRT
Model training is done using PyTorch on pre recorded .wav samples. More info in the above repository. Feel free to create a pull request to add your own trained models to this repository.
Also see companion plugin, the SmartGuitarAmp: https://github.com/keyth72/SmartGuitarAmp
- Download plugin (currently Windows 10 only) here
- Copy to your DAW's VST directory
- Copy .json models from the models/ directory of this repository to the DAW's executable directory when using VST, (for example: "C:\Program Files\REAPER (x64)\*.json") or to the same directory as the SmartPedal.exe when using standalone.
- Clone or download this repository.
- Download and install JUCE This project uses the "Projucer" application from the JUCE website.
- Download Eigen Extract Eigen to a convenient location on your system (will be linked with Projucer)
- Open SmartGuitarPedal.jucer file with Projucer
- Add the <full_path_to>/ Eigen folder to "Header Search Paths" in Exporters -> Debug/Release
- Open and build project in Visual Studio (Windows), Xcode (Mac), or Code::Blocks/Makefile (Linux)
Note: Make sure to build in Release mode unless actually debugging. Debug mode will not keep up with real time playing.
Models are auto loaded from the working directory of the executable. When using the plugin, add the .json files to your DAW .exe path (for example: "C:\Program Files\REAPER (x64)"). When running the stand alone exe, put in the same directory as SmartPedal.exe.
This project is licensed under the Apache License, Version 2.0 - see the LICENSE file for details.
This project builds off the work done here: https://github.com/damskaggep/WaveNetVA