Handbook of Artificial Intelligence for Music: Foundations, Advanced Approaches, and Developments for Creativity
Editat de Eduardo Reck Mirandaen Limba Engleză Hardback – 3 iul 2021
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.
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Specificații
ISBN-13: 9783030721152
ISBN-10: 3030721159
Ilustrații: XXX, 994 p. 330 illus., 107 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.6 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030721159
Ilustrații: XXX, 994 p. 330 illus., 107 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.6 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
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.
Notă biografică
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 Guide to Computing for Expressive Music Performance.
Textul de pe ultima copertă
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
* 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.
Caracteristici
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