Code and documentation for SOPI Deep Learning with Audio course and related projects. See also:
https://github.com/SopiMlab/magenta
https://github.com/SopiMlab/py
https://github.com/SopiMlab/flext
Our research uses computer resources provided by the Aalto Science-IT Triton cluster.
Deep Learning with Audio course materials, including code templates that integrate functionality from the below open source deep learning audio projects into the Pure Data programming environment, are provided by SOPI research group Aalto University, School of Arts, Design and Architecture 2021, under the GPL license GNU General Public License version 2 | Open Source Initiative. We make use of the following open source projects:
- pyext/flext (GPL v2)
- Magenta/Open NSynth Super (Apache 2.0)
- DDSP (Apache 2.0)
- PRISM SampleRNN (MIT)
Copyright (C) 2021 SOPI Research Group, Aalto University
This program 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 2 of the License, or (at your option) any later version.
This program 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 this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
For further information please contact to Koray Tahiroglu; email: [email protected], mail: Aalto University School of Arts, Design and Architecture, Department of Media, room J101, Väre Otaniementie 14, 02150 Espoo, Finland