Development of Agents that Create Melodies based on Estimating Gaussian Functions in the Pitch Space of Consonance

Hidefumi Ohmura, Takuro Shibayama, Keiji Hirata, Satoshi Tojo

2020

Abstract

Music is organized by simple physical structures, such as the relationship between the frequencies of tones. We have focused on the frequency ratio between notes and have proposed lattice spaces, which express the ratios of pitches and pulses. Agents produce melodies using distributions in the lattice spaces. In this study, we upgrade the system to analyze existing music. Therefore, the system can obtain the distribution of the pitch in the pitch lattice space and create melodies. We confirm that the system fits the musical features, such as modes and scales of the existing music as GMM. The probability density function in the pitch lattice space is suggested to be suitable for expressing the primitive musical structure of the pitch. However, there are a few challenges of not adapting a 12-equal temperament and dynamic variation of the mode; in this study, we focus on these challenges.

Paper Citation

in Harvard Style

Ohmura H., Shibayama T., Hirata K. and Tojo S. (2020). Development of Agents that Create Melodies based on Estimating Gaussian Functions in the Pitch Space of Consonance. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: HAMT, ISBN 978-989-758-395-7, pages 363-369. DOI: 10.5220/0009382203630369

in Bibtex Style

@conference{hamt20,
author={Hidefumi Ohmura and Takuro Shibayama and Keiji Hirata and Satoshi Tojo},
title={Development of Agents that Create Melodies based on Estimating Gaussian Functions in the Pitch Space of Consonance},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: HAMT,},
year={2020},
pages={363-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009382203630369},
isbn={978-989-758-395-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: HAMT,
TI - Development of Agents that Create Melodies based on Estimating Gaussian Functions in the Pitch Space of Consonance
SN - 978-989-758-395-7
AU - Ohmura H.
AU - Shibayama T.
AU - Hirata K.
AU - Tojo S.
PY - 2020
SP - 363
EP - 369
DO - 10.5220/0009382203630369