A. C. Kihiko, M. Ogihara, G. Ren, and J. W. Beauchamp, “Modeling between Partial Components for Musical Timbre Imitation and Migration,” in Proc. AES Convention 147, Oct. 2019, Paper 558. [Online]. Available: https://aes.org/publications/elibrary-page/?id=20581
Kihiko AC, Ogihara M, Ren G, Beauchamp JW. Modeling between Partial Components for Musical Timbre Imitation and Migration. In: AES Convention 147. Audio Engineering Society; 2019. Paper 558. Available from: https://aes.org/publications/elibrary-page/?id=20581
@inproceedings{Kihiko2019_20581,
author = {Kihiko, Angela C. and Ogihara, Mitsunori and Ren, Gang and Beauchamp, James W.},
title = {{Modeling between Partial Components for Musical Timbre Imitation and Migration}},
booktitle = {AES Convention 147},
note = {Paper 558},
year = {2019},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=20581}
}
TY - CPAPER
TI - Modeling between Partial Components for Musical Timbre Imitation and Migration
AU - Kihiko, Angela C.
AU - Ogihara, Mitsunori
AU - Ren, Gang
AU - Beauchamp, James W.
T2 - AES Convention 147
M1 - Paper 558
PY - 2019
DA - 2019/10/06
UR - https://aes.org/publications/elibrary-page/?id=20581
PB - Audio Engineering Society
LA - en
AB - Most musical sounds have strong and regularly distributed spectral components such as harmonic partials. However, the energy distribution patterns between any two such sonic partials, the in-between low-energy signal patterns such as performance articulation or instrument signatures, are also important for characterizing musical sounds. This paper presents a timbre-modeling framework for detecting and modeling the between-partial components for musical timbre analysis and synthesis. This framework focuses on timbre imitation and migration for electronic music instruments, where timbral patterns obtained from acoustical instruments are re-interpreted for electronic instruments and new music interfaces. The proposed framework will help musicians and audio engineers to better explore musical timbre and musical performance expressions for enhancing the naturalness, expressiveness, and creativeness of electronic/computer music systems.
ER -