Handbook of Artificial Intelligence for Music
Foundations, Advanced Approaches, and Developments for Creativity
Published on 3. July 2022
Book
Paperback/Softback
XXX, 994 pages
978-3-030-72118-3 (ISBN)
Description
This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with 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.
Artificial Intelligence (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.
Artificial Intelligence (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.
More details
Edition
2021 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
223 s/w Abbildungen, 107 farbige Abbildungen
XXX, 994 p. 330 illus., 107 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 55 mm
Weight
1515 gr
ISBN-13
978-3-030-72118-3 (9783030721183)
DOI
10.1007/978-3-030-72116-9
Schweitzer Classification
Other editions
Additional editions
Eduardo Reck Miranda
Handbook of Artificial Intelligence for Music
Foundations, Advanced Approaches, and Developments for Creativity
Book
07/2021
Springer
€353.09
Shipment within 7-9 days
Person
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 (ICCMR). His previous publications include the Springer titles
Guide to Unconventional Computing for Music
,
Guide to Brain-Computer Music Interfacing
and G
uide to Computing for Expressive Music Performance
.
Content
Preface.- Foreword.- 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.