OUR PROJECTS
A Comparative Study of Western and Chinese Classical Music based on Soundscape Models
Use of soundscape emotional recognition models for comparative analyses of western and Chinese classical musical
Multi-label Sound Event Retrieval
Deep learning system to identify which sounds are occurring in a given soundscape
Apollo: An Interactive Environment for Generating Symbolic Musical Phrases using Corpus-based Style Imitation
Interactive Web Framework for Interactive Machine learning (IML) as Computer-Assisted Composition
Walknet: Affective Movement Recognition and Generation
Machine learning models to recognizer the valence and arousal of movement information
Automatic Pure Data Patch Generation
Automatically synthesizes generation using Cartesian programing
Music composed by Genetic Algorithm
Overlapping harmonic progression, was generated using a harmonic analysis of 87 compositions.
