M. Zhang, J. Granzow, G. Ren, and M. F. Bocko, “Timbre Imitation and Adaptation for Experimental Music Instruments: An interactive Approach Using Real-Time Digital Signal Processing Framework,” in Proc. AES Convention 137, Oct. 2014, Paper 9196. [Online]. Available: https://aes.org/publications/elibrary-page/?id=17519
Zhang M, Granzow J, Ren G, Bocko MF. Timbre Imitation and Adaptation for Experimental Music Instruments: An interactive Approach Using Real-Time Digital Signal Processing Framework. In: AES Convention 137. Audio Engineering Society; 2014. Paper 9196. Available from: https://aes.org/publications/elibrary-page/?id=17519
@inproceedings{Zhang2014_17519,
author = {Zhang, Mingfeng and Granzow, John and Ren, Gang and Bocko, Mark F.},
title = {{Timbre Imitation and Adaptation for Experimental Music Instruments: An interactive Approach Using Real-Time Digital Signal Processing Framework}},
booktitle = {AES Convention 137},
note = {Paper 9196},
year = {2014},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=17519}
}
TY - CPAPER
TI - Timbre Imitation and Adaptation for Experimental Music Instruments: An interactive Approach Using Real-Time Digital Signal Processing Framework
AU - Zhang, Mingfeng
AU - Granzow, John
AU - Ren, Gang
AU - Bocko, Mark F.
T2 - AES Convention 137
M1 - Paper 9196
PY - 2014
DA - 2014/10/06
UR - https://aes.org/publications/elibrary-page/?id=17519
PB - Audio Engineering Society
LA - en
AB - We propose a real-time digital signal processing framework to extend the timbre control capability of experimental musical instruments. We focus on two music cognition concepts of timbre imitation and adaption to enable experimental musical instruments to be integrated into existing ensemble works. In timbre imitation, we aim to simulate known timbre patterns to enhance the musical coherence during an ensemble performance. In timbre adaptation, we explore extended timbre manipulation settings such as complementary timbre and contrasting timbre. Our proposed framework is implemented on a low cost real-time digital signal processing system to ensure easy adaptability. Our study is based on saxophone and violin but can be readily generalized to other instrument categories.
ER -