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020			_a9783030721169
024	7		_a10.1007/978-3-030-72116-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aML74 _b2021 EB
245	0	0	_aHandbook of Artificial Intelligence for Music : _bFoundations, Advanced Approaches, and Developments for Creativity _cedited by Eduardo Reck Miranda
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (XXX, 994 páginas) _b330 ilustraciones, 107 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aPreface -- 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.
520	3		_aThis 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.
988			_aSpringer_Computer_2021
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _aMúsica _9138603
700	1		_aMiranda, Eduardo Reck _eeditor literario _0(orcid)0000-0002-8306-9585 _1https://orcid.org/0000-0002-8306-9585 _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030721152
776	0	8	_iPrinted edition: _z9783030721176
776	0	8	_iPrinted edition: _z9783030721183
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72116-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2021 _dz _ea _zSI