Application of Artificial Neural Network in Chinese Folk Music

DOI

10.2991/mcei-18.2018.22How to use a DOI?

Keywords

LSTM; Chinese folk music; Algorithmic composition; Interval

Abstract

In recent years, artificial neural network have been widely used in music application. Algorithm can compose music that is comparable to human performances. However, few people use algorithm to compose Chinese folk music. Applying algorithm to ethnic music composition is beneficial to its development. In this paper, we present a Chinese folk music sequence learner based on the superimposed LSTM neural network model. By considering the correlation between pentatonic scales, we create ethnic music that has more sound structures. We also conduct experiments to evaluate the quality of our music generation.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - LingYun Feng
AU  - Yulin Wu
AU  - Li Zhu
AU  - Qian Yin
PY  - 2018/06
DA  - 2018/06
TI  - Application of Artificial Neural Network in Chinese Folk Music
BT  - Proceedings of the 2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018)
PB  - Atlantis Press
SP  - 112
EP  - 117
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-18.2018.22
DO  - 10.2991/mcei-18.2018.22
ID  - Feng2018/06
ER  -