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Handbook of Artificial Intelligence for Music

Om Handbook of Artificial Intelligence for Music

Part I: Understanding Musical IntelligenceCognitive 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 Robot Understanding of Conductor Gestures 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 Artificial Intelligence Data Mining for Music 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 Machine Learning Algorithm for Musical Composition 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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  • Språk:
  • Engelsk
  • ISBN:
  • 9783030721152
  • Bindende:
  • Hardback
  • Sider:
  • 994
  • Utgitt:
  • 3. juli 2021
  • Utgave:
  • 12021
  • Dimensjoner:
  • 241x165x60 mm.
  • Vekt:
  • 1674 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 13. april 2026

Beskrivelse av Handbook of Artificial Intelligence for Music

Part I: Understanding Musical IntelligenceCognitive 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
Robot Understanding of Conductor Gestures
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
Artificial Intelligence Data Mining for Music
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
Machine Learning Algorithm for Musical Composition
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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