Handbook of artificial intelligence for music : foundations, advanced approaches, and developments for creativity / Eduardo Reck Miranda, editor.
Miranda, Eduardo Reck, 1963- editor.
2021
ML74
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Title Handbook of artificial intelligence for music : foundations, advanced approaches, and developments for creativity / Eduardo Reck Miranda, editor.
ISBN 9783030721169 (electronic bk.)
3030721167 (electronic bk.)
3030721159
9783030721152
DOI https://doi.org/10.1007/978-3-030-72116-9
Published Cham, Switzerland : Springer, 2021.
Copyright ©2021
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-72116-9 doi
Call Number ML74
Dewey Decimal Classification 780.285/63
Summary This unique reference presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what is known about human musical intelligence and on how this knowledge can be simulated with artificial intelligence (AI). The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain-computer music interfaces, bio-processors and quantum computing. AI technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content. Topics and features: * The definitive work on AI and music computing, featuring insights from leading experts in the field * Highlights how AI is much more than just deep learning, showcasing a range of different approaches and developments * Introduces new and emerging topics in AI, including biocomputing and quantum computing Prof. Eduardo Reck Miranda is a composer and professor in Computer Music at the University of Plymouth, UK, where he is director of the Interdisciplinary Centre for Computer Music Research. His previous publications include the Springer titles Guide to Unconventional Computing for Music, Guide to Brain-Computer Music Interfacing and Guide to Computing for Expressive Music Performance.
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Added Author Miranda, Eduardo Reck, 1963- editor.
Available in Other Form Print version: 9783030721152
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A Sociocultural and Design Perspectives on AI-based Music Production: Why do we make music what changes if AI makes it for us?
Human-Machine Simultaneity in the Compositional Process
Artificial Intelligence for Music Composition
Artificial Intelligence in Music and Performance: A subjective art-research inquiry
Neuroscience of Musical Improvisation.,
Discovering the Neuroanatomical Correlates of Music with Machine Learning
Music, Artificial Intelligence and Neuroscience
Creative Music Neurotechnology
On Making Music with Heartbeats
Cognitive Musicology and Artificial Intelligence: Harmonic Analysis, Learning and Generation
On Modelling Harmony with Constraint Programming for Algorithmic Composition Including a Model of Schoenberg's Theory of Harmony
Constraint-Solving System in Music Creation
AI Music Mixing Systems
Machine Improvisation in Music: Information theoretic approach
Structure, Abstraction and Reference in Artificial Musical Intelligence
Folk the Algorithms: (Mis)Applying Artificial Intelligence to Folk Music
Automatic Music Composition with Evolutionary Algorithms: Digging into the roots of biological creativity
Assisted Music Creation with Flow Machines: Towards new categories of new
Performance Creativity in Computer Systems for Expressive Performance of Music
Imitative Computer-Aided Musical Orchestration with Biologically Inspired Algorithms
Human-centred Artificial Intelligence in Concatenative Sound Synthesis
Deep Generative Models for Musical Audio Synthesis
Transfer Learning for Generalized Audio Signal Processing
From Audio to Music Notation
Automatic Transcription of Polyphonic Vocal Music
Graph-Based Representation, Analysis and Interpretation of Popular Music Lyrics Using Semantic Embedding Features
Interactive Machine Learning of Musical Gesture
Human-Robot Musical Interaction
Shimon Sings: Robotic musicianship finds its voice
AI-lectronica: Music AI in clubs and studio production
Musicking with Algorithms: Thoughts on Artificial Intelligence, Creativity and Agency
cellF: Surrogate Musicianship as Manifestation of In-vitro Intelligence
On Growing Computers from Living Biological Cells: Let's take a walk on the wild side of Artificial Intelligence
Quantum Computer: Hello Music.

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