Build AI-Enhanced Audio Plugins with C++

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A01=Matthew John Yee-King
artificial intelligence
Author_Matthew John Yee-King
autonomous music improviser plugin
C++
Category=UMZ
Category=UYU
digital signal processing
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
JUCE programming
LSTM audio synthesis
machine learning audio
Markov models music
neural audio processing
plug-ins
Python
software development

Product details

  • ISBN 9781032430461
  • Weight: 830g
  • Dimensions: 178 x 254mm
  • Publication Date: 21 Jun 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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.

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