Connectionist representations of tonal music: discovering musical patterns by interpreting artificial neural networks
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edmonton, AB
AU Press, Athabasca University
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext Inhaltsverzeichnis |
| Beschreibung: | xv, 295 Seiten Illustrationen, Diagramme |
| ISBN: | 9781771992206 |
Internformat
MARC
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| 245 | 1 | 0 | |a Connectionist representations of tonal music |b discovering musical patterns by interpreting artificial neural networks |c Michael R.W. Dawson |
| 264 | 1 | |a Edmonton, AB |b AU Press, Athabasca University |c [2018] | |
| 264 | 4 | |c © 2018 | |
| 300 | |a xv, 295 Seiten |b Illustrationen, Diagramme | ||
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| 653 | 0 | |a Musical intervals and scales | |
| 653 | 0 | |a Neural networks (Computer science) / Case studies | |
| 653 | 0 | |a Music / Psychological aspects / Case studies | |
| 653 | 0 | |a Music / Philosophy and aesthetics / Case studies | |
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Datensatz im Suchindex
| _version_ | 1813306357732868096 |
|---|---|
| adam_text |
Contents
List of Figures ix
List o f Tables xiii
Acknowledgements xv
Overture: Alien Music 3
Chapter 1: Science, Music, and Cognitivism
i.t Mechanical Philosophy, Mathematics, and Music 9
1.2 Mechanical Philosophy and Tuning 10
1.3 Psychophysics of Music 13
1.4 From Rationalism to Classical Cognitive Science 15
1.5 Musical Cognitivism 17
1.6 Summary 26
Chapter 2: Artificial Neural Networks and Music
2.1 Some Connectionist Basics 29
2.2 Romanticism and Connectionism 36
2.3 Against Connectionist Romanticism 38
2.4 The Value Unit Architecture 42
2.5 Summary and Implications 45
Chapter 3: The Scale Tonic Perceptron
3.1 Pitch-Class Representations of Scales 49
3.2 Identifying the Tonics of Musical Scales 56
3.3 Interpreting the Scale Tonic Perceptron 58
3.4 Summary and Implications 66
Chapter 4: The Scale Mode Network
4.x The Multilayer Perceptron 69
4.2 Identifying Scale Mode 72
4.3 Interpreting the Scale Mode Network 74
4.4 Tritone Imbalance and Key Mode 79
4.5 Further Network Analysis 80
4.6 Summary and implications 89
Chapter 5: Networks for Key-Finding
5.1 Key-Finding 91
5.2 Key-Finding with Multilayered Perceptrons 93
5.3 Interpreting the Network 95
5.4 Coarse Codes for Key-Finding 98
5.5 Key-Finding with Perceptrons 104
5.6 Network Interpretation 112
5.7 Summary and Implications 115
Chapter 6: Classifying Chords with Strange Circles
6.1 Four Types of Triads 119
6.2 Triad Classification Networks 121
6.3 Interval Cycles and Strange Circles 128
6.4 Added Note Tetrachords 143
6.5 Classifying Tetrachords 146
6.6 Interpreting the Tetrachord Network 148
6.7 Summary and Implications 165
Chapter 7: Classifying Extended Tetrachords
7.1 Extended Tetrachords 169
7.2 Classifying Extended Tetrachords 173
7.3 Interpreting the Extended Tetrachord Network
7.4 Bands and Coarse Coding 200
7.5 Summary and Implications 206
Chapter 8: Jazz Progression Networks
8.r The ii-V-1 Progression 209
8.2 The Importance of Encodings 212
8.3 Four Encodings of the ii-V-1 Problem 213
8.4 Complexity, Encoding, and Training Time 219
8.5 Interpreting a Pitch-class Perceptron 222
8.6 The Coltrane Changes 232
8.7 Learning the Coltrane Changes 237
8.8 Interpreting a Coltrane Perceptron 240
8.9 Strange Circles and Coltrane Changes 244
8.10 Summary and Implications 248
Chapter 9: Connectionist Reflections
9.1 A Less Romantic Connectionism 251
9.2 Synthetic Psychology of Music 254
9.3 Musical Implications 261
9.4 Implications for Musical Cognition 267
9.5 Future Directions 271
References 273
Index 293 |
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| author | Dawson, Michael R. W. 1959- |
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| author_facet | Dawson, Michael R. W. 1959- |
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| indexdate | 2024-10-19T04:08:21Z |
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| isbn | 9781771992206 |
| language | English |
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| physical | xv, 295 Seiten Illustrationen, Diagramme |
| psigel | ZDB-94-OAB |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | AU Press, Athabasca University |
| record_format | marc |
| spellingShingle | Dawson, Michael R. W. 1959- Connectionist representations of tonal music discovering musical patterns by interpreting artificial neural networks Musik (DE-588)4040802-4 gnd Tonalität (DE-588)4185654-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Neurocomputer (DE-588)4200446-9 gnd |
| subject_GND | (DE-588)4040802-4 (DE-588)4185654-5 (DE-588)4226127-2 (DE-588)4200446-9 |
| title | Connectionist representations of tonal music discovering musical patterns by interpreting artificial neural networks |
| title_auth | Connectionist representations of tonal music discovering musical patterns by interpreting artificial neural networks |
| title_exact_search | Connectionist representations of tonal music discovering musical patterns by interpreting artificial neural networks |
| title_full | Connectionist representations of tonal music discovering musical patterns by interpreting artificial neural networks Michael R.W. Dawson |
| title_fullStr | Connectionist representations of tonal music discovering musical patterns by interpreting artificial neural networks Michael R.W. Dawson |
| title_full_unstemmed | Connectionist representations of tonal music discovering musical patterns by interpreting artificial neural networks Michael R.W. Dawson |
| title_short | Connectionist representations of tonal music |
| title_sort | connectionist representations of tonal music discovering musical patterns by interpreting artificial neural networks |
| title_sub | discovering musical patterns by interpreting artificial neural networks |
| topic | Musik (DE-588)4040802-4 gnd Tonalität (DE-588)4185654-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Neurocomputer (DE-588)4200446-9 gnd |
| topic_facet | Musik Tonalität Neuronales Netz Neurocomputer |
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