Handbook of Artificial Intelligence for Music

Part I: Understanding Musical Intelligence
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
Robot Understanding of Conductor Gestures
Atsuo TakahishiHuman-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 LiMachine 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 FierbinkAnArtificial Intelligence Approach to Concatenative Sound Synthesis
Noris Modh Norowi

Sound Synthesis with Deep Neural Networks
Jesse Engel

On Computer-Aided Orchestration
Marcelo