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arXiv · 1706.09551

Toward Inverse Control of Physics-Based Sound Synthesis

A. Pfalz·E. Berdahl
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Abstract

Long Short-Term Memory networks (LSTMs) can be trained to realize inverse control of physics-based sound synthesizers. Physics-based sound synthesizers simulate the laws of physics to produce output sound according to input gesture signals. When a user's gestures are measured in real time, she or he can use them to control physics-based sound synthesizers, thereby creating simulated virtual instruments. An intriguing question is how to program a computer to learn to play such physics-based models. This work demonstrates that LSTMs can be trained to accomplish this inverse control task with four physics-based sound synthesizers.

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A. Pfalz, E. Berdahl. 2017-06-29. Toward Inverse Control of Physics-Based Sound Synthesis. https://arxiv.org/abs/1706.09551

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