Build AI-Enhanced Audio Plugins with C++

Matthew John Yee-King

$284

Hardback

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English

Focal Press
21 June 2024

Software Engineering; Audio processing

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 APIs which demonstrate how to combine technologies to produce professional, AI-enhanced creative tools.

Alongside a freely accessible source code repository created by the author that accompanies the book for readers to reference, each chapter is supported by complete example applications and projects, including an autonomous music improviser, a neural network-based synthesizer meta-programmer and a neural audio effects processor. Detailed instructions on how to build each example are also provided, including source code extracts, diagrams and background theory.

This is an essential guide for software developers and programmers of all levels looking to integrate AI into their systems, as well as educators and students of audio programming, machine learning and software development.

By: Matthew John Yee-King
Imprint: Focal Press
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 453g
ISBN: 9781032430461
ISBN 10: 103243046X
Pages: 344
Publication Date: 21 June 2024
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Matthew John Yee-King is a professor in the department of computing at Goldsmiths, University of London. He is an experienced educator as well as the programme director for the University of London's online BSc Computer Science degree.

Reviews for Build AI-Enhanced Audio Plugins with C++

"""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."" François Pachet, Research Director"