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AN. C.. Kihiko, M. Ogihara, G. Ren, and JA. W.. Beauchamp, "Modeling between Partial Components for Musical Timbre Imitation and Migration," Engineering Brief 558, (2019 October.). doi: AN. C.. Kihiko, M. Ogihara, G. Ren, and JA. W.. Beauchamp, "Modeling between Partial Components for Musical Timbre Imitation and Migration," Engineering Brief 558, (2019 October.). doi:
Abstract: 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.

@article{kihiko2019modeling,
author={kihiko, angela c. and ogihara, mitsunori and ren, gang and beauchamp, james w.},
journal={journal of the audio engineering society},
title={modeling between partial components for musical timbre imitation and migration},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},} @article{kihiko2019modeling,
author={kihiko, angela c. and ogihara, mitsunori and ren, gang and beauchamp, james w.},
journal={journal of the audio engineering society},
title={modeling between partial components for musical timbre imitation and migration},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={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.},}

TY - paper
TI - Modeling between Partial Components for Musical Timbre Imitation and Migration
SP - EP -
AU - Kihiko, Angela C.
AU - Ogihara, Mitsunori
AU - Ren, Gang
AU - Beauchamp, James W.
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019 TY - paper
TI - Modeling between Partial Components for Musical Timbre Imitation and Migration
SP - EP -
AU - Kihiko, Angela C.
AU - Ogihara, Mitsunori
AU - Ren, Gang
AU - Beauchamp, James W.
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019
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.