NAM JUCE

Neural Amp Modeler JUCE Implementation

Table of Contents

• Installation
  • Releases
  • Chocolatey (Windows)
• Building
  • Optional CMake Flags
• Supported Platforms
• Supported Formats
• Getting Amp Models

Installation

Releases

The latest version for Windows and MacOS can be found in the Releases page.

Chocolatey (Windows)

For windows, the Chocolatey package can be installed by running:

choco install nam-juce

Building

git clone https://github.com/tr3m/nam-juce
cd nam-juce

Git sumbodules dont need to be initialized manually. CMake will initialize the appropriate submodules depending on the defined flags.

Windows

cmake -B build
cmake --build build --config Release -j %NUMBER_OF_PROCESSORS% 

The %NUMBER_OF_PROCESSORS% environment variable is for cmd. The Powershell/New Windows Terminal equivalent is $ENV:NUMBER_OF_PROCESSORS.

MacOS

cmake -B build
cmake --build build -- -j $(sysctl -n hw.physicalcpu)

Linux

cmake -B build
cmake --build build -- -j $(nproc)

Linux dependencies for JUCE can be found here. Keep in mind that the packages they list are meant for Ubuntu, so you might have to do your own research depending on your distro.

Optional CMake Flags

• -DUSE_NATIVE_ARCH=1
  • Enables processor-specific optimizations for modern x64 processors.
• -DCMAKE_PREFIX_PATH=<PATH/TO/JUCE>
  • Use a global installation of JUCE instead of the repo submodule.
• -DASIO_PATH=<PATH_TO_ASIO_SDK> (Windows only)
  • Enables ASIO support for the Standalone Application.

The resulting binaries can be found under build/NEURAL_AMP_MODELER_artefacts/Release/.

Supported Platforms

• Windows
• MacOS
• Linux

Supported Formats

• VST3
• AU
• Standalone Application

Note: The Standalone application for Windows doesn't support ASIO by default. For ASIO support a path to Steingberg's ASIO SDK needs to be provided by using the ASIO_PATH flag with CMake.

More plugin formats like LV2 and Legacy VST can be built by providing the appropriate SDK paths and setting the corresponding JUCE flags in the main CMakeLists.txt file.

Getting Models

You can find Models and Impulse Responses shared by the community on ToneHunt.