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.

Authors: Zhang, Mingfeng; Granzow, John; Ren, Gang; Bocko, Mark F.
Affiliations: University of Rochester, Rochester, NY, USA; Stanford University, Stanford, CA, USA(See document for exact affiliation information.)
AES Convention: 137 (October 2014) Paper Number: 9196
Publication Date: October 8, 2014
Subject: Signal Processing

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