Description
Book SynopsisMathematical Music offers a concise and easily accessible history of how mathematics was used to create music. The story presented in this short, engaging volume ranges from ratios in antiquity to random combinations in the 17th century, 20th-century statistics, and contemporary artificial intelligence.
This book provides a fascinating panorama of the gradual mechanization of thought processes involved in the creation of music. How did Baroque authors envision a composition system based on combinatorics? What was it like to create musical algorithms at the beginning of the 20th century, before the computer became a reality? And how does this all explain todayâs use of artificial intelligence and machine learning in music? In addition to discussing the history and the present state of mathematical music, Braguinski also takes a look at what possibilities the near future of music AI might hold for listeners, musicians, and the society.
Grounded in research findin
Trade Review
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
Table of ContentsList 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
