Let's calculate Bach: applying information theory and statistics to numbers in music
This book shows how information theory, probability, statistics, mathematics and personal computers can be applied to the exploration of numbers and proportions in music. It brings the methods of scientific and quantitative thinking to questions like: What are the ways of encoding a message in music...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2021]
|
| Schriftenreihe: | Quantitative Methods in the Humanities and Social Sciences
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| Schlagworte: | |
| Zusammenfassung: | This book shows how information theory, probability, statistics, mathematics and personal computers can be applied to the exploration of numbers and proportions in music. It brings the methods of scientific and quantitative thinking to questions like: What are the ways of encoding a message in music and how can we be sure of the correct decoding? How do claims of names hidden in the notes of a score stand up to scientific analysis? How many ways are there of obtaining proportions and are they due to chance? After thoroughly exploring the ways of encoding information in music, the ambiguities of numerical alphabets and the words to be found hidden in a score, the book presents a novel way of exploring the proportions in a composition with a purpose-built computer program and gives example results from the application of the techniques. These include information theory, combinatorics, probability, hypothesis testing, Monte Carlo simulation and Bayesian networks, presented in an easily understandable form including their development from ancient history through the life and times of J.S. Bach, making connections between science, philosophy, art, architecture, particle physics, calculating machines and artificial intelligence. For the practitioner the book points out the pitfalls of various psychological fallacies and biases and includes succinct points of guidance for anyone involved in this type of research. This book will be useful to anyone who intends to use a scientific approach to the humanities, particularly music, and will appeal to anyone who is interested in the intersection between the arts and science. With a foreword by Ruth Tatlow (Uppsala University), award winning author of Bachs Numbers: Compositional Proportion and Significance and Bach and the Riddle of the Number Alphabet |
| Beschreibung: | XXXIV, 352 Seiten Illustrationen 25 cm |
| ISBN: | 9783030637682 3030637689 |
Internformat
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| 520 | 3 | |a This book shows how information theory, probability, statistics, mathematics and personal computers can be applied to the exploration of numbers and proportions in music. It brings the methods of scientific and quantitative thinking to questions like: What are the ways of encoding a message in music and how can we be sure of the correct decoding? How do claims of names hidden in the notes of a score stand up to scientific analysis? How many ways are there of obtaining proportions and are they due to chance? After thoroughly exploring the ways of encoding information in music, the ambiguities of numerical alphabets and the words to be found hidden in a score, the book presents a novel way of exploring the proportions in a composition with a purpose-built computer program and gives example results from the application of the techniques. These include information theory, combinatorics, probability, hypothesis testing, Monte Carlo simulation and Bayesian networks, presented in an easily understandable form including their development from ancient history through the life and times of J.S. Bach, making connections between science, philosophy, art, architecture, particle physics, calculating machines and artificial intelligence. For the practitioner the book points out the pitfalls of various psychological fallacies and biases and includes succinct points of guidance for anyone involved in this type of research. This book will be useful to anyone who intends to use a scientific approach to the humanities, particularly music, and will appeal to anyone who is interested in the intersection between the arts and science. With a foreword by Ruth Tatlow (Uppsala University), award winning author of Bachs Numbers: Compositional Proportion and Significance and Bach and the Riddle of the Number Alphabet | |
| 653 | 0 | |a Information theory in music | |
| 653 | 1 | |a Bach, Johann Sebastian / 1685-1750 | |
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Datensatz im Suchindex
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| id | DE-604.BV048394629 |
| illustrated | Illustrated |
| index_date | 2024-07-03T20:21:27Z |
| indexdate | 2024-07-10T09:36:57Z |
| institution | BVB |
| isbn | 9783030637682 3030637689 |
| language | English |
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| physical | XXXIV, 352 Seiten Illustrationen 25 cm |
| publishDate | 2021 |
| publishDateSearch | 2021 |
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| publisher | Springer |
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| series2 | Quantitative Methods in the Humanities and Social Sciences |
| spelling | Shepherd, Alan computer programmer Verfasser aut Let's calculate Bach applying information theory and statistics to numbers in music Alan Shepherd Cham, Switzerland Springer [2021] XXXIV, 352 Seiten Illustrationen 25 cm txt rdacontent n rdamedia nc rdacarrier Quantitative Methods in the Humanities and Social Sciences This book shows how information theory, probability, statistics, mathematics and personal computers can be applied to the exploration of numbers and proportions in music. It brings the methods of scientific and quantitative thinking to questions like: What are the ways of encoding a message in music and how can we be sure of the correct decoding? How do claims of names hidden in the notes of a score stand up to scientific analysis? How many ways are there of obtaining proportions and are they due to chance? After thoroughly exploring the ways of encoding information in music, the ambiguities of numerical alphabets and the words to be found hidden in a score, the book presents a novel way of exploring the proportions in a composition with a purpose-built computer program and gives example results from the application of the techniques. These include information theory, combinatorics, probability, hypothesis testing, Monte Carlo simulation and Bayesian networks, presented in an easily understandable form including their development from ancient history through the life and times of J.S. Bach, making connections between science, philosophy, art, architecture, particle physics, calculating machines and artificial intelligence. For the practitioner the book points out the pitfalls of various psychological fallacies and biases and includes succinct points of guidance for anyone involved in this type of research. This book will be useful to anyone who intends to use a scientific approach to the humanities, particularly music, and will appeal to anyone who is interested in the intersection between the arts and science. With a foreword by Ruth Tatlow (Uppsala University), award winning author of Bachs Numbers: Compositional Proportion and Significance and Bach and the Riddle of the Number Alphabet Information theory in music Bach, Johann Sebastian / 1685-1750 Théorie de l'information dans la musique |
| spellingShingle | Shepherd, Alan computer programmer Let's calculate Bach applying information theory and statistics to numbers in music |
| title | Let's calculate Bach applying information theory and statistics to numbers in music |
| title_auth | Let's calculate Bach applying information theory and statistics to numbers in music |
| title_exact_search | Let's calculate Bach applying information theory and statistics to numbers in music |
| title_exact_search_txtP | Let's calculate Bach applying information theory and statistics to numbers in music |
| title_full | Let's calculate Bach applying information theory and statistics to numbers in music Alan Shepherd |
| title_fullStr | Let's calculate Bach applying information theory and statistics to numbers in music Alan Shepherd |
| title_full_unstemmed | Let's calculate Bach applying information theory and statistics to numbers in music Alan Shepherd |
| title_short | Let's calculate Bach |
| title_sort | let s calculate bach applying information theory and statistics to numbers in music |
| title_sub | applying information theory and statistics to numbers in music |
| work_keys_str_mv | AT shepherdalan letscalculatebachapplyinginformationtheoryandstatisticstonumbersinmusic |