Build AI-Enhanced Audio Plugins with C++ [Paperback]

Build AI-Enhanced Audio Plugins with C++ explains how to embed artificial intelligence technology inside tools that can be used by audio and music professionals, through worked examples using Python, C++ and audio plug-in APIs which demonstrate how to combine technologies to produce professional, AI-enhanced creative tools.

This book is long overdue. With the explosion of activity in the field of AI-assisted music creation, the need for mastering all the chain of software from ideas to actual plugins is stronger than ever. Matthew has a direct, hands-on approach that not only will be of great help to people wanting to contribute to the field, but will also encourage others to experiment and share their code. Matthew's experience in teaching shows and definitely contributes to making the book easy to read and to-the-point.

Fran?ois Pachet, Research Director

Part 1: Getting started  1. Introduction to the book  2. Setting up your development environment  3. Installing JUCE  4. Installing and using CMake  5. Set up libtorch  6. Python setup instructions  7. Common development environment setup problems  8. Basic plugin development  9. FM synthesizer plugin  Part 2: ML-powered plugin control: the meta-controller  10. Using regression for synthesizer control  11. Experiment with regression and libtorch  12. The meta-controller  13. Linear interpolating Superknob  14. Untrained Torchknob  15. Training the torchknob  16. Plugin meta-controller  17. Placing plugins in an AudioProcessGraph sl8