Handbook of Artificial Intelligence for Music: Foundations, Advanced Approaches, and Developments for Creativity
商品資訊
ISBN13：9783030721183
出版社：Springer Nature
作者：Eduardo Reck Miranda(EDI)
出版日：2022/07/03
裝訂：平裝
規格：23.4cm*15.6cm*5.1cm (高/寬/厚)
商品簡介
Cognitive Neuroscience of Music
Stefan Koelsh
The Musical Brain
Aniruddh Patel
The Neuroscience of Musical Improvisation
Psyche Loui
Part II: Machine Perception and Analysis
Machine Listening of Music
Juan Pablo Bello
Convolutional Neural Networks for Audio Spectrogram Representation
Lonce Wyse
Robot Musicianship
Gil Weinberg
Atsuo Takahishi
Human-Robot Emotional Musical Interaction
Massimiliano Zecca
Machine Recognition of Musical Emotion
Yi-Hsuan Yang and Homer H. Chen
Optical Recognition of Music Notation
Ana Bebelo
Music Transcription: from Audio to Music Notation
Emmanouil Benetos
Machine Learning System for Harmonic Analysis of Music
Tijl De Bie
Machine Learning of Jazz
Jon Gillick
Tao Li
Machine Learning of Body Movement in Instrumental Music Performance
Federico Visi
Machine Learning of Orchestral Conductor's Baton Movements
Donald G. Dansereau
Machine Recognition of Music Emotion
Yi-Hsuan Yang and Homer H. Chen
Part III: Machine Composing and Performance
Flow Machines
Francois Pachet
Machine Improvisation
Shlomo Dubnov
Artificial Agents for Collaborative Free Improvisation
Adam Linson
Symbolic Computational Creativity
David Cope
Tracing the Compositional Process
Hanns Holger Rutz
Composing with Intelligent Interactive Musical Agents
Marcelo Gimenes
Creating Music Autonomously with Evolutionary Algorithms
Francisco J. Vico
Constraint-Solving System for Generating Music Scores
Orjan Sandred
Constraint Modeling of Music Theories
Torsten Anders
Rebecca Fierbink
An Artificial Intelligence Approach to Concatenative Sound Synthesis
Noris Modh Norowi
Sound Synthesis with Deep Neural Networks
Jesse Engel
On Computer-Aided Orchestration
Marcelo Caetano
Gesture Data in Musical Composition
Marlon Schumacher and Marcelo Wanderley
Surveying Systems for Expressive Musical Performance by Computer
Alexis Kirke
Computer-Assisted Analysis of Musical Interpretation
Gerhard Widmer
Gesture Recognition in Interactive Music Performance
Dan Overholt
Designing Constraints for Composition and Performance with Computers
Thor Magnusson
Part IV: Emerging Developments in Musical AI
Machine Learning for Brain-Computer Music Interfacing
Eduardo R. Miranda and Satvik Venkatesh
Biological Neural Networks Synthesiser
Guy Ben-Ary
Sound and Music Biocomputing
Eduardo R. Miranda and Edward Braund
Musical Machine Learning with Biomemristors
Eduardo R. Miranda and Edward Braund
The Dawn of Quantum Computer Music
Eduardo R. Miranda
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