Deep and Shallow
eBook - ePub

Deep and Shallow

Machine Learning in Music and Audio

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Deep and Shallow

Machine Learning in Music and Audio

About this book

Providing an essential and unique bridge between the theories of signal processing, machine learning, and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations. Combining signals and language models in one place, this book explores how sound may be represented and manipulated by computer systems, and how our devices may come to recognize particular sonic patterns as musically meaningful or creative through the lens of information theory.

Introducing popular fundamental ideas in AI at a comfortable pace, more complex discussions around implementations and implications in musical creativity are gradually incorporated as the book progresses. Each chapter is accompanied by guided programming activities designed to familiarize readers with practical implications of discussed theory, without the frustrations of free-form coding.

Surveying state-of-the art methods in applications of deep neural networks to audio and sound computing, as well as offering a research perspective that suggests future challenges in music and AI research, this book appeals to both students of AI and music, as well as industry professionals in the fields of machine learning, music, and AI.

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Yes, you can access Deep and Shallow by Shlomo Dubnov,Ross Greer in PDF and/or ePUB format, as well as other popular books in Computer Science & Digital Media. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Endorsements Page
  3. Half-Title Page
  4. Series Page
  5. Title Page
  6. Copyright Page
  7. Dedication Page
  8. Contents
  9. Preface
  10. Chapter 1 Introduction to Sounds of Music
  11. Chapter 2 Noise: The Hidden Dynamics of Music
  12. Chapter 3 Communicating Musical Information
  13. Chapter 4 Understanding and (Re)Creating Sound
  14. Chapter 5 Generating and Listening to Audio Information
  15. Chapter 6 Artificial Musical Brains
  16. Chapter 7 Representing Voices in Pitch and Time
  17. Chapter 8 Noise Revisited: Brains that Imagine
  18. Chapter 9 Paying (Musical) Attention
  19. Chapter 10 Last Noisy Thoughts, Summary, and Conclusion
  20. Appendix A Introduction to Neural Network Frameworks: Keras, Tensorflow, Pytorch
  21. Appendix B Summary of Programming Examples and Exercises
  22. Appendix C Software Packages for Music and Audio Representation and Analysis
  23. Appendix D Free Music and Audio-Editing Software
  24. Appendix E Datasets
  25. Appendix F Figure Attributions
  26. References
  27. Index