Interactive emocional portrait making installations.
Use of soundscape emotional recognition models for comparative analyses of western and Chinese classical musical
Deep learning system to identify which sounds are occurring in a given soundscape
Download a matrix for this ssytem.
Framework for computer-assisted composition
MASOM learns how to play music by listening to some.
Machine learning models to recognizer the valence and arousal of movement information
Automatic emotional recognition in soundscape recordings
Automatically synthesizes generation using Cartesian programing
Overlapping harmonic progression, was generated using a harmonic analysis of 87 compositions.
Generating musical notation for live performers, for interaction with robotic instruments.
An installation agents performing percussionism.
Computer-assisted electronic music composition
Computer-assisted music composition
Networked affective audio computing.
Live drum continuator with zoning.
Agent based on a model of visual mentation
Cognitive model for corpuse-based symbolic music generation
Agents choose sounds from a large pre-analyzed database of soundscape recordings.
Musical Metacreation: Creative Software and Software Creativity.
The procedure to generate Gradual follows that of One of the Above, albeit with the software extended to work with pitch material (AE).