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Handbook of artificial intelligence ...

Miranda, Eduardo Reck.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Handbook of artificial intelligence for music/ edited by Eduardo Reck Miranda.
其他題名:	foundations, advanced approaches, and developments for creativity /
其他作者:	Miranda, Eduardo Reck.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xxx, 994 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Handbooks, manuals, etc. - Musical applications -
電子資源:	https://doi.org/10.1007/978-3-030-72116-9
ISBN:	9783030721169

Handbook of artificial intelligence for music = foundations, advanced approaches, and developments for creativity /
Handbook of artificial intelligence for musicfoundations, advanced approaches, and developments for creativity /[electronic resource] :edited by Eduardo Reck Miranda. - Cham :Springer International Publishing :2021. - xxx, 994 p. :ill., digital ;24 cm.

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.

ISBN: 9783030721169

Standard No.: 10.1007/978-3-030-72116-9doiSubjects--Topical Terms:

3505092
Artificial intelligence
--Musical applications--Handbooks, manuals, etc.

LC Class. No.: ML74

Dewey Class. No.: 780.28563

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