3 papers
cs.SD2025
Persistent Homology of Music Network with Three Different Distances
Eunwoo Heo, Byeongchan Choi, Myung ock Kim +2
Persistent homology has been widely used to discover hidden topological structures in data across various applications, including music data. To apply persistent homology, a distan…
cs.SD2022
Machine Composition of Korean Music via Topological Data Analysis and Artificial Neural Network
Mai Lan Tran, Dongjin Lee, Jae-Hun Jung
Common AI music composition algorithms based on artificial neural networks are to train a machine by feeding a large number of music pieces and create artificial neural networks th…
cs.SD2021
Topological Data Analysis of Korean Music in Jeongganbo: A Cycle Structure
Mai Lan Tran, Changbom Park, Jae-Hun Jung
Jeongganbo is a unique music representation invented by Sejong the Great. Contrary to the western music notation, the pitch of each note is encrypted and the length is visualized d…