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 form acoustical instruments are reinterpreted 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.
| Original language | English (US) |
|---|---|
| State | Published - Jan 1 2019 |
| Event | 147th Audio Engineering Society International Convention 2019 - New York, United States Duration: Oct 16 2019 → Oct 19 2019 |
Conference
| Conference | 147th Audio Engineering Society International Convention 2019 |
|---|---|
| Country | United States |
| City | New York |
| Period | 10/16/19 → 10/19/19 |
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ASJC Scopus subject areas
- Modeling and Simulation
- Acoustics and Ultrasonics
Cite this
Modeling between-partial components for musical timbre imitation and migration. / Kihiko, Angela C.; Ogihara, Mitsunori; Ren, Gang; Beauchamp, James W.
2019. Paper presented at 147th Audio Engineering Society International Convention 2019, New York, United States.Research output: Contribution to conference › Paper
}
TY - CONF
T1 - Modeling between-partial components for musical timbre imitation and migration
AU - Kihiko, Angela C.
AU - Ogihara, Mitsunori
AU - Ren, Gang
AU - Beauchamp, James W.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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 form acoustical instruments are reinterpreted 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.
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 form acoustical instruments are reinterpreted 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.
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