A bridge between OM and the XMM library.
XMM is a C++ library that implements Gaussian Mixture Models and Hidden Markov Models for recognition and regression. The XMM library was developed for movement interaction in creative applications and implements an interactive machine learning workflow with fast training and continuous, real-time inference. See http://ircam-rnd.github.io/xmm/
XMM-OM is a C++ library that manages data preparation, training, and prediction using XMM
OM-XMM is a lisp library for OpenMusic (OM 6.13 / om7) that manages the XMM-OM C++ Library
Paul Best, Jean Bresson / STMS Lab: IRCAM - CNRS - Sorbonne Université (2018).
XMM was developed by Jules Françoise in the Sound Music Movement Interaction team of the STMS Lab (2011-2015).
This project is released under the GPLv3 license.
It is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with the software. If not, see http://www.gnu.org/licenses/.