List of figures
Acknowledgments
Composing with numbers (overview of this book)
From continuities...
1 Not a revolution (introduction)
2 Since antiquity
3 Since the Middle Ages
4 Since the early modern period
5 Since the 19th century
6 Since 1900
7 Since 1950
... to possibilities
8 Powerful and limited (introduction)
9 How does deep learning work?
10 Putting music AI in perspective
11 Real-world music AI
12 Mass-produced and still individual
13 Avant-garde becomes pop’s aide
Conclusion
Glossary
Bibliography
Index
Biography
Nikita Braguinski is a musicologist and historian of technology. He studied musicology at the University of Cologne and wrote his PhD in media theory at the Humboldt University of Berlin. He was a visiting postdoctoral fellow at the Max Planck Institute for the History of Science, a postdoctoral fellow of the Music Department at Harvard University, and most recently a postdoctoral researcher at Humboldt University where he wrote this book. He plays flute, piano, and guitar (but only when nobody is listening). His past musical experience ranges from playing in a rock band to jazz compositions, symphonic music, and electronic dance music.
This wide-ranging book, accessible to those without extensive background in either music or mathematics, provides a fascinating history of the interrelationship between these two. Braguinski explains, with concrete examples, how recent musical AI is innovative in many ways, but how it also rests on deep foundations built in centuries past.
Nick Montfort, Professor of Digital Media, MIT, and Director of The Trope Tank
