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Handbook of Artificial Intelligence for Music : Foundations, Advanced Approaches, and Developments for Creativity
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Editor(s):
Eduardo Reck Miranda
Publication date
(Print):
2021
Publisher:
Springer International Publishing
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Journal of Advanced Ceramics
Author and book information
Contributors
Eduardo Reck Miranda:
(View ORCID Profile)
Book
ISBN (Print):
978-3-030-72115-2
ISBN (Electronic):
978-3-030-72116-9
Publication date (Print):
2021
DOI:
10.1007/978-3-030-72116-9
SO-VID:
9bbf8b2b-c64d-46ef-9f5e-0b2809b5edb3
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Book chapters
pp. 1
Sociocultural and Design Perspectives on AI-Based Music Production: Why Do We Make Music and What Changes if AI Makes It for Us?
pp. 21
Human–Machine Simultaneity in the Compositional Process
pp. 53
Artificial Intelligence for Music Composition
pp. 75
Artificial Intelligence in Music and Performance: A Subjective Art-Research Inquiry
pp. 97
Neuroscience of Musical Improvisation
pp. 117
Discovering the Neuroanatomical Correlates of Music with Machine Learning
pp. 163
Music, Artificial Intelligence and Neuroscience
pp. 195
Creative Music Neurotechnology
pp. 237
On Making Music with Heartbeats
pp. 263
Cognitive Musicology and Artificial Intelligence: Harmonic Analysis, Learning, and Generation
pp. 283
On Modelling Harmony with Constraint Programming for Algorithmic Composition Including a Model of Schoenberg’s Theory of Harmony
pp. 327
Constraint-Solving Systems in Music Creation
pp. 345
AI Music Mixing Systems
pp. 377
Machine Improvisation in Music: Information-Theoretical Approach
pp. 409
Structure, Abstraction and Reference in Artificial Musical Intelligence
pp. 423
Folk the Algorithms: (Mis)Applying Artificial Intelligence to Folk Music
pp. 455
Automatic Music Composition with Evolutionary Algorithms: Digging into the Roots of Biological Creativity
pp. 485
Assisted Music Creation with Flow Machines: Towards New Categories of New
pp. 521
Performance Creativity in Computer Systems for Expressive Performance of Music
pp. 585
Imitative Computer-Aided Musical Orchestration with Biologically Inspired Algorithms
pp. 617
Human-Centred Artificial Intelligence in Concatenative Sound Synthesis
pp. 639
Deep Generative Models for Musical Audio Synthesis
pp. 679
Transfer Learning for Generalized Audio Signal Processing
pp. 693
From Audio to Music Notation
pp. 715
Automatic Transcription of Polyphonic Vocal Music
pp. 737
Graph-Based Representation, Analysis, and Interpretation of Popular Music Lyrics Using Semantic Embedding Features
pp. 771
Interactive Machine Learning of Musical Gesture
pp. 799
Human–Robot Musical Interaction
pp. 823
Shimon Sings-Robotic Musicianship Finds Its Voice
pp. 849
AI-Lectronica: Music AI in Clubs and Studio Production
pp. 873
Musicking with Algorithms: Thoughts on Artificial Intelligence, Creativity, and Agency
pp. 915
cellF: Surrogate Musicianship as a Manifestation of In-Vitro Intelligence
pp. 933
On Growing Computers from Living Biological Cells
pp. 963
Quantum Computer: Hello, Music!
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