Uploaded March 2023 | Updated September 2026, 2 weeks ago
Deep learning has provided numerous breakthroughs within the creative industries. Harnessing this creative potential within audio plug-ins provides an exciting intersection between academia and the music tech industry.
Neutone and The Audio Programmer have partnered to create the Neural Audio Plug-in Competition (NAP). This initiative will allow the creators of neural audio effects to demonstrate their potential and help empower artists with the latest advances in this groundbreaking technology. There are over $5000 in prizes and support courtesy of TikTok, Qosmo, Inc., JUCE, Cycling '74, GPU Audio & MathWorks!
We will be holding livestreams every Friday from February 24th to March 24th, focusing on neural audio and AI in music technology with special guests.
Find out more here: theaudioprogrammer.com/neural-audio
——
This livestream's guests are:
(1)
"Neutone Workshop: Real-Time Audio Plugin and SDK"
Andrew Fyfe, Christopher Mitcheltree, Naotake Masuda
(Qosmo, Inc)
Abstract:
The Qosmo team will provide an overview of the Neutone platform, taking you step by step through the process of building, wrapping and exporting Neural Audio models for the Neutone plugin.
(2)
"MATLAB Basics for Deep Learning and Audio Plugins"
Gabriele Bunkheila (MathWorks)
Abstract:
Are you considering entering the Neural Audio Plugin Competition? MATLAB is free to use for all participants and this session provides an overview of the most useful features to work on the challenge. Join us and learn about the basics of:
* Using MATLAB code to create and host VST and AU plugins, from DSP to UI controls
* Hosting, running, and testing VST and AU plugins in MATLAB
* Accessing pre-trained deep learning networks in MATLAB and training your own
* Importing PyTorch, TensorFlow and ONNX models into MATLAB
* Turning deep learning models into efficient C++ implementations for audio plugins
——
Join the Audio Programmer community: theaudioprogrammer.com/community
Contact us here for our services: theaudioprogrammer.com/services
Support the channel: patreon.com/theaudioprogrammer
Website: theaudioprogrammer.com
Instagram: instagram.com/theaudioprogrammer
Facebook: facebook.com/theaudioprogrammer
Twitter: twitter.com/audioprogrammer
Deep learning has provided numerous breakthroughs within the creative industries. Harnessing this creative potential within audio plug-ins provides an exciting intersection between academia and the music tech industry.
Neutone and The Audio Programmer have partnered to create the Neural Audio Plug-in Competition (NAP). This initiative will allow the creators of neural audio effects to demonstrate their potential and help empower artists with the latest advances in this groundbreaking technology. There are over $5000 in prizes and support courtesy of TikTok, Qosmo, Inc., JUCE, Cycling '74, GPU Audio & MathWorks!
We will be holding livestreams every Friday from February 24th to March 24th, focusing on neural audio and AI in music technology with special guests.
Find out more here: theaudioprogrammer.com/neural-audio
——
This livestream's guests are:
(1)
"Neutone Workshop: Real-Time Audio Plugin and SDK"
Andrew Fyfe, Christopher Mitcheltree, Naotake Masuda
(Qosmo, Inc)
Abstract:
The Qosmo team will provide an overview of the Neutone platform, taking you step by step through the process of building, wrapping and exporting Neural Audio models for the Neutone plugin.
(2)
"MATLAB Basics for Deep Learning and Audio Plugins"
Gabriele Bunkheila (MathWorks)
Abstract:
Are you considering entering the Neural Audio Plugin Competition? MATLAB is free to use for all participants and this session provides an overview of the most useful features to work on the challenge. Join us and learn about the basics of:
* Using MATLAB code to create and host VST and AU plugins, from DSP to UI controls
* Hosting, running, and testing VST and AU plugins in MATLAB
* Accessing pre-trained deep learning networks in MATLAB and training your own
* Importing PyTorch, TensorFlow and ONNX models into MATLAB
* Turning deep learning models into efficient C++ implementations for audio plugins
——
Join the Audio Programmer community: theaudioprogrammer.com/community
Contact us here for our services: theaudioprogrammer.com/services
Support the channel: patreon.com/theaudioprogrammer
Website: theaudioprogrammer.com
Instagram: instagram.com/theaudioprogrammer
Facebook: facebook.com/theaudioprogrammer
Twitter: twitter.com/audioprogrammer
