http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Connectionist representations of tonal music
discovering musical patterns by interpreting artificial neural networks
Cover; Half Title; Title; Copyright; Contents; List of Figures; List of Tables; Acknowledgements; Overture: Alien Music; Chapter 1: Science, Music, and Cognitivism; 1.1 Mechanical Philosophy, Mathematics, and Music; 1.2 Mechanical Philosophy and Tuning; 1.3 Psychophysics of Music; 1.4 From Rationalism to Classical Cognitive Science; 1.5 Musical Cognitivism; 1.6 Summary; Chapter 2: Artificial Neural Networks and Music; 2.1 Some Connectionist Basics; 2.2 Romanticism and Connectionism; 2.3 Against Connectionist Romanticism; 2.4 The Value Unit Architecture; 2.5 Summary and Implications
Chapter 3: The Scale Tonic Perceptron3.1 Pitch-Class Representations of Scales; 3.2 Identifying the Tonics of Musical Scales; 3.3 Interpreting the Scale Tonic Perceptron; 3.4 Summary and Implications; Chapter 4: The Scale Mode Network; 4.1 The Multilayer Perceptron; 4.2 Identifying Scale Mode; 4.3 Interpreting the Scale Mode Network; 4.4 Tritone Imbalance and Key Mode; 4.5 Further Network Analysis; 4.6 Summary and Implications; Chapter 5: Networks for Key-Finding; 5.1 Key-Finding; 5.2 Key-Finding with Multilayered Perceptrons; 5.3 Interpreting the Network; 5.4 Coarse Codes for Key-Finding
5.5 Key-Finding with Perceptrons5.6 Network Interpretation; 5.7 Summary and Implications; Chapter 6: Classifying Chords with Strange Circles; 6.1 Four Types of Triads; 6.2 Triad Classification Networks; 6.3 Interval Cycles and Strange Circles; 6.4 Added Note Tetrachords; 6.5 Classifying Tetrachords; 6.6 Interpreting the Tetrachord Network; 6.7 Summary and Implications; Chapter 7: Classifying Extended Tetrachords; 7.1 Extended Tetrachords; 7.2 Classifying Extended Tetrachords; 7.3 Interpreting the Extended Tetrachord Network; 7.4 Bands and Coarse Coding; 7.5 Summary and Implications
Chapter 8: Jazz Progression Networks8.1 The ii-V-I Progression; 8.2 The Importance of Encodings; 8.3 Four Encodings of the ii-V-I Problem; 8.4 Complexity, Encoding, and Training Time; 8.5 Interpreting a Pitch-class Perceptron; 8.6 The Coltrane Changes; 8.7 Learning the Coltrane Changes; 8.8 Interpreting a Coltrane Perceptron; 8.9 Strange Circles and Coltrane Changes; 8.10 Summary and Implications; Chapter 9: Connectionist Reflections; 9.1 A Less Romantic Connectionism; 9.2 Synthetic Psychology of Music; 9.3 Musical Implications; 9.4 Implications for Musical Cognition; 9.5 Future Directions
ReferencesIndex; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; V; W
Connectionist Representations of Tonal Music : Discovering Musical Patterns by Interpreting Artifical Neural Networks
Edmonton : Athabasca University Press,c2018