Handbook of Artificial Intelligence for Music

Table of Contents

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   Book Overview
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   Chapter 1 Sociocultural and Design Perspectives on AI-Based Music Production: Why Do We Make Music and What Changes if AI Makes It for Us?
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   Chapter 2 Human–Machine Simultaneity in the Compositional Process
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   Chapter 3 Artificial Intelligence for Music Composition
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   Chapter 4 Artificial Intelligence in Music and Performance: A Subjective Art-Research Inquiry
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   Chapter 5 Neuroscience of Musical Improvisation
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   Chapter 6 Discovering the Neuroanatomical Correlates of Music with Machine Learning
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   Chapter 7 Music, Artificial Intelligence and Neuroscience
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   Chapter 8 Creative Music Neurotechnology
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    Chapter 9 On Making Music with Heartbeats
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    Chapter 10 Cognitive Musicology and Artificial Intelligence: Harmonic Analysis, Learning, and Generation
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    Chapter 11 On Modelling Harmony with Constraint Programming for Algorithmic Composition Including a Model of Schoenberg’s Theory of Harmony
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    Chapter 12 Constraint-Solving Systems in Music Creation
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    Chapter 13 AI Music Mixing Systems
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    Chapter 14 Machine Improvisation in Music: Information-Theoretical Approach
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    Chapter 15 Structure, Abstraction and Reference in Artificial Musical Intelligence
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    Chapter 16 Folk the Algorithms: (Mis)Applying Artificial Intelligence to Folk Music
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    Chapter 17 Automatic Music Composition with Evolutionary Algorithms: Digging into the Roots of Biological Creativity
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    Chapter 18 Assisted Music Creation with Flow Machines: Towards New Categories of New
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    Chapter 19 Performance Creativity in Computer Systems for Expressive Performance of Music
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    Chapter 20 Imitative Computer-Aided Musical Orchestration with Biologically Inspired Algorithms
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    Chapter 21 Human-Centred Artificial Intelligence in Concatenative Sound Synthesis
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    Chapter 22 Deep Generative Models for Musical Audio Synthesis
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    Chapter 23 Transfer Learning for Generalized Audio Signal Processing
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    Chapter 24 From Audio to Music Notation
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    Chapter 25 Automatic Transcription of Polyphonic Vocal Music
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    Chapter 26 Graph-Based Representation, Analysis, and Interpretation of Popular Music Lyrics Using Semantic Embedding Features
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    Chapter 27 Interactive Machine Learning of Musical Gesture
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    Chapter 28 Human–Robot Musical Interaction
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    Chapter 29 Shimon Sings-Robotic Musicianship Finds Its Voice
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    Chapter 30 AI-Lectronica: Music AI in Clubs and Studio Production
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    Chapter 31 Musicking with Algorithms: Thoughts on Artificial Intelligence, Creativity, and Agency
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    Chapter 32 cellF: Surrogate Musicianship as a Manifestation of In-Vitro Intelligence
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    Chapter 33 On Growing Computers from Living Biological Cells
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    Chapter 34 Quantum Computer: Hello, Music!