Getting started with Gaussian Mixture Regression in JUCE

simple JUCE example of an XMM-based OSC app

This example implements a wekinator-style application without GUI.
It wraps several classes of the XMM library together and provides a simple and intuitive higher-level interface for gaussian mixture regression.
It contains an example Max patch for testing the regression with a simple synthesizer.

installation

This repository contains a submodule, so you will need to use the --recursive option :
git clone --recursive https://github.com/Ircam-RnD/JUCE-XMM-example-GMR-OSC.git or git submodule init and git submodule update after doing a regular clone.
In order for the project to compile, you should clone this repository into any subfolder of the main juce folder. Otherwise you will have to update your juce modules path from the projucer and regenerate the project.

license

See XMM's license

credits

This example is developed by the ISMM team at IRCAM, within the context of the RAPID-MIX project, funded by the European Union’s Horizon 2020 research and innovation programme.
Original XMM code authored by Jules Françoise.
See github.com/Ircam-RnD/xmm for detailed XMM credits.