Description
Book SynopsisThis book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with 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.
Artificial Intelligence (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.
Table of ContentsPart 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
