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Authors: Hidefumi Ohmura 1 ; Takuro Shibayama 2 ; Keiji Hirata 3 and Satoshi Tojo 4

Affiliations: 1 Department of Information Sciences, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba, Japan ; 2 Department of Information Systems and Design, Tokyo Denki University, Ishizaka, Hatoyama-cho, Hikigun, Saitama, Japan ; 3 Department of Complex and Intelligent Systems, Future University Hakodate, 116-2, Kamedanakano-cho, Hakodate-shi, Hokkaido, Japan ; 4 Graduate School of Information Science, Japan Advanced Institute of Science and Technology,

Keyword(s): Music, Melody, Lattice Space, GMM, EM Algorithm.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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; ISSN 2184-433X, pages 363-369. DOI: 10.5220/0009382203630369

@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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Ohmura, H.
AU - Shibayama, T.
AU - Hirata, K.
AU - Tojo, S.
PY - 2020
SP - 363
EP - 369
DO - 10.5220/0009382203630369