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Visualizing Music [Hardback]

  • Formāts: Hardback, 386 pages, height x width: 254x203 mm, weight: 1270 g, 14 color illus., 295 b&w illus., 1 b&w table
  • Sērija : Musical Meaning and Interpretation
  • Izdošanas datums: 02-May-2023
  • Izdevniecība: Indiana University Press
  • ISBN-10: 0253064724
  • ISBN-13: 9780253064721
  • Formāts: Hardback, 386 pages, height x width: 254x203 mm, weight: 1270 g, 14 color illus., 295 b&w illus., 1 b&w table
  • Sērija : Musical Meaning and Interpretation
  • Izdošanas datums: 02-May-2023
  • Izdevniecība: Indiana University Press
  • ISBN-10: 0253064724
  • ISBN-13: 9780253064721
To feel the emotional force of music, we experience it aurally. But how can we convey musical understanding visually?

Visualizing Music explores the art of communicating about music through images. Drawing on principles from the fields of vision science and information visualization, Eric Isaacson describes how graphical images can help us understand music. By explaining the history of music visualizations through the lens of human perception and cognition, Isaacson offers a guide to understanding what makes musical images effective or ineffective and provides readers with extensive principles and strategies to create excellent images of their own. Illustrated with over 300 diagrams from both historical and modern sources, including examples and theories from Western art music, world music, and jazz, folk, and popular music, Visualizing Music explores the decisions made around image creation.

Together with an extensive online supplement and dozens of redrawings that show the impact of effective techniques, Visualizing Music is a captivating guide to thinking differently about design that will help music scholars better understand the power of musical images, thereby shifting the ephemeral to material.

To feel the emotional force of music, we experience it aurally. But how can we convey musical understanding visually?

Visualizing Music explores the art of communicating about music through images. Drawing on principles from the fields of vision science and information visualization, Eric Isaacson describes how graphical images can help us understand music. By explaining the history of music visualizations through the lens of human perception and cognition, Isaacson offers a guide to understanding what makes musical images effective or ineffective and provides readers with extensive principles and strategies to create excellent images of their own. Illustrated with over 300 diagrams from both historical and modern sources, including examples and theories from Western art music, world music, and jazz, folk, and popular music, Visualizing Music explores the decisions made around image creation.

Together with an extensive online supplement and dozens of redrawings that show the impact of effective techniques, Visualizing Music is a captivating guide to thinking differently about design that will help music scholars better understand the power of musical images, thereby shifting the ephemeral to material.



— Eric Isaacson is expertly trained to see "the subtleties in how various kinds of visual images, representations, diagrams, and displays communicate, or fail to readily convey, crucial information" according to praise from Robert Hatten. He has published, presented, and taught on visualizing music for over 28 years.

— This book serves music scholars by offering a guide to effectively communicate visually. It has the potential to spark further research leading to the development of new approaches in visualization and expansions to existing methodologies.

— Visualizations are powerful agents of musical meaning, so publication as part of IUP's Musical Meaning and Interpretation series is fitting.

— The target audience includes scholars and advanced students in music theory, musicology, and visualization in the arts.

Recenzijas

"Visualizing Music provides a rich visual overview of the discipline of music theory while offering practical suggestions for scholars."Timothy Koozin, Moores School of Music, University of Houston

Preface ix
Acknowledgments xi
Accessing Audiovisual Materials xiii
Introduction 1(4)
Part 1 Preliminaries
5(4)
Chapter 1 Leveraging the power of the Brain
9(4)
Chapter 2 The Role of Metaphor
13(4)
Chapter 3 Multivariate Images
17(5)
Chapter 4 Telling a Story
22(5)
Chapter 5 Facilitating Comparison
27(4)
Chapter 6 Information layers
31(3)
Chapter 7 Information Intecration
34(4)
Chapter 8 Making Every part of an Image Count
38(8)
Chapter 9 Presenting tabular data
46(6)
Chapter 10 Small Multiples
52(3)
Chapter 11 Using Color
55(6)
Chapter 12 Additional ceneral Principles
61(8)
Chapter 13 Case Study: Western Notation
69(8)
Part 2 Musical Spaces
77(44)
Chapter 14 Pitch spaces
79(5)
Chapter 15 Collections, scales, an d modes
84(9)
Chapter 16 The Circle of Fifths
93(5)
Chapter 17 The Tonnetz
98(4)
Chapter 18 Atonal spaces
102(5)
Chapter 19 Symmetrical Pitch Structures
107(4)
Chapter 20 Tonal Hierarchy, Tendency, Progression
111(6)
Chapter 21 The overtone Series
117(4)
Part 3 Musical Time
121(34)
Chapter 22 Basic Durations
123(5)
Chapter 23 Unmeasured musical Time
128(4)
Chapter 24 Musically measured musical Time
132(6)
Chapter 25 Externally measured musical Time (Performance Timing)
138(9)
Chapter 26 Proportion
147(8)
Part 4 Pitch, Texture, Timbre, Form
155(68)
Chapter 27 Textual Representations of Pitch
157(2)
Chapter 28 Piano Roll Notation
159(5)
Chapter 29 Alternate Notational Systems
164(8)
Chapter 30 Tuning and temperament
172(6)
Chapter 31 Microtuninc
178(5)
Chapter 32 Timbre
183(5)
Chapter 33 Texture
188(6)
Chapter 34 Voice Leading
194(5)
Chapter 35 Schematic and Procedural Representations
199(8)
Chapter 36 Formal Models
207(4)
Chapter 37 Pitch-class set tables
211(4)
Chapter 38 Instrument ranges
215(4)
Chapter 39 Translations
219(4)
Part 5 Music Analysis
223(106)
Chapter 40 Lutoslawski's Jeux venitiens
225(5)
Chapter 41 Annotating Musical Scores
230(10)
Chapter 42 Thematic analysis
240(5)
Chapter 43 Contour Analysis
245(8)
Chapter 44 Tonal Plans
253(4)
Chapter 45 Symmetry in Music Analysis
257(3)
Chapter 46 Rhythmic Analysis
260(5)
Chapter 47 Formal Analysis
265(15)
Chapter 48 Hierarchy in Music
280(13)
Chapter 49 Serialism
293(10)
Chapter 50 Corpus studies
303(8)
Chapter 51 Musical Chronologies, Influences, And styles
311(10)
Chapter 52 Animation
321(8)
Part 6 Visualization in the Professional Realm
329(21)
Chapter 53 Conference handouts
333(3)
Chapter 54 Presentation Slideshows
336(3)
Chapter 55 Conference posters
339(5)
Chapter 56 Print publication
344(2)
Chapter 57 The essential visualization toolbox
346(4)
Epilogue 350(3)
Bibliography 353(10)
Index 363
Eric Isaacson is Associate Professor of Music Theory at the Indiana University Jacobs School of Music and a faculty member in the Indiana University Cognitive Science Program.