Uploaded April 2023 | Updated September 2026, 2 weeks ago

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"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"

- Abstract

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Links:

Gabriele's LinkedIn: linkedin.com/in/gabrielebunkheila

NAP Competition MathWorks page: mathworks.com/academia/student-competitions/neural-audio-plug-in-competition.html

Basics of MATLAB: matlabacademy.mathworks.com
MATLAB documentation: mathworks.com/help

Plugin example gallery:
mathworks.com/help/audio/ug/audio-plugin-example-gallery.html
mathworks.com/matlabcentral/fileexchange?q=tag%3Aaescomp

Import/export deep learning networks: mathworks.com/help/deeplearning/deep-learning-import-and-export.html

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0:00 Intro
1:56 About Gabriele
2:51 Resources
5:42 Example situations
9:24 Basics of making a plugin in MATLAB
14:40 Limitations
16:20 Resources (pt. 2)
17:36 Exploring a denser plugin
35:27 Creating deep networks in MATLAB
55:11 End of presentation
55:53 Outro

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Inclusion is at the core of our meetups, and we follow the Berlin Code of Conduct. For more information, please read more here berlincodeofconduct.org

Join the Audio Programmer Discord Group: theaudioprogrammer.com/community

See our past meetups here:
youtube.com/watch?v=JCNyd1KGjMk&list=PLLgJJsrdwhPzp0yWZNMu4-VHktZr3a1KP

Support the channel: patreon.com/theaudioprogrammer

Website: theaudioprogrammer.com
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