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Hidden Structure: Music Analysis Using Computers [Kõva köide]

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List of Figures
xi
Preface xxi
Description of CD-ROM xxvii
Background
1(44)
Principles and Definitions
1(6)
A Brief History of Algorithmic Analysis
7(15)
A Brief Survey of Computational Music Analysis
22(17)
Musical Examples
39(2)
Program Description
41(2)
Conclusions
43(2)
Lisp, Algorithmic Information Theory, and Music
45(54)
Lisp
45(5)
Definitions
50(12)
Musical Algorithmic Information Theory
62(12)
Musical Examples
74(16)
Program Description
90(7)
Conclusions
97(2)
Register and Range in Set Analysis
99(46)
Basics of Set Theory
99(13)
Register
112(6)
Ranges and Vectors
118(2)
Comparisons
120(7)
Musical Examples
127(12)
Program Description
139(5)
Conclusions
144(1)
Computer Analysis of Scales in Post-Tonal Music
145(44)
Mathematical Sequences
145(3)
Scales
148(5)
Vector Classes and Metaclasses
153(7)
Varese's Density 21.5
160(9)
Schoenberg's Six Little Piano Pieces, op. 19, no.1 (1911)
169(3)
Other Musical Examples
172(10)
Program Description
182(6)
Conclusions
188(1)
Function and Structure in Post-Tonal Music
189(42)
Object-Oriented Programming
189(8)
Definitions
197(4)
The Acoustic Theory of Chord Roots
201(4)
Musical Tension
205(5)
Context and SPEAC
210(5)
Function
215(2)
Form and Structure
217(8)
Musical Examples
225(1)
Program Description
225(3)
Conclusions
228(3)
Generative Models of Music
231(44)
Modeling
231(3)
Recombinancy
234(15)
Probabilities
249(3)
Rules and Markov Chains
252(17)
Musical Examples
269(1)
Program Description
269(5)
Conclusions
274(1)
A Look to the Future
275(46)
Principles
275(2)
Mathematics
277(13)
Artificial Intelligence
290(5)
Muse
295(10)
Musical Examples
305(5)
The Future
310(6)
Conclusions
316(5)
Bibliography 321(10)
Glossary 331(6)
Index 337