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MATLAB Basics for Deep Learning and Audio Plugins | Gabriele Bunkheila (MathWorks)
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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
——
Links:
Plugin example gallery:
——
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
——
See our past meetups here:
- 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
——
Links:
Plugin example gallery:
——
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
——
See our past meetups here:
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