Handbook of artificial intelligence for music : foundations, advanced approaches, and developments for creativity /

Saved in:
Bibliographic Details
Imprint:Cham, Switzerland : Springer, 2021.
Description:1 online resource
Language:English
Subject:Artificial intelligence -- Musical applications -- Handbooks, manuals, etc.
Artificial intelligence -- Musical applications.
Electronic books.
Electronic books.
Handbooks and manuals.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12613701
Hidden Bibliographic Details
Other authors / contributors:Miranda, Eduardo Reck. editor.
ISBN:9783030721169
3030721167
3030721159
9783030721152
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.
Other form:Original 3030721159 9783030721152
Standard no.:10.1007/978-3-030-72116-9
LEADER 05869cam a2200481Ia 4500
001 12613701
005 20210813213023.0
006 m o d
007 cr |n|||||||||
008 210711s2021 sz of 000 0 eng d
003 ICU
040 |a YDX  |b eng  |c YDX  |d GW5XE  |d OCLCO  |d EBLCP  |d OCLCF 
020 |a 9783030721169  |q (electronic bk.) 
020 |a 3030721167  |q (electronic bk.) 
020 |z 3030721159 
020 |z 9783030721152 
024 7 |a 10.1007/978-3-030-72116-9  |2 doi 
035 |a (OCoLC)1259627772 
050 4 |a ML74 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
049 |a MAIN 
245 0 0 |a Handbook of artificial intelligence for music :  |b foundations, advanced approaches, and developments for creativity /  |c Eduardo Reck Miranda, editor. 
260 |a Cham, Switzerland :  |b Springer,  |c 2021. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
505 0 |a 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. 
520 |a 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. 
650 0 |a Artificial intelligence  |x Musical applications  |v Handbooks, manuals, etc. 
650 7 |a Artificial intelligence  |x Musical applications.  |2 fast  |0 (OCoLC)fst00817274 
655 0 |a Electronic books. 
655 4 |a Electronic books. 
655 7 |a Handbooks and manuals.  |2 fast  |0 (OCoLC)fst01423877 
700 1 |a Miranda, Eduardo Reck.  |e editor.  |0 (orcid)0000-0002-8306-9585  |1 https://orcid.org/0000-0002-8306-9585  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
776 0 8 |c Original  |z 3030721159  |z 9783030721152  |w (OCoLC)1240307652 
856 4 0 |u https://link.springer.com/10.1007/978-3-030-72116-9  |y Springer Nature 
903 |a HeVa 
929 |a oclccm 
999 f f |i d5cf9897-a6dd-5849-b345-f4f0234a4821  |s c12a7131-a614-5cc6-9c80-3f5df70e6972 
928 |t Library of Congress classification  |a ML74  |l Online  |c UC-FullText  |u https://link.springer.com/10.1007/978-3-030-72116-9  |z Springer Nature  |g ebooks  |i 12629308