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Modeling Audio Effects

[Feature] Dynamic range compressors represent a good example of regularly used effects that rely on nonlinear processing, and it is common to attempt to emulate classic designs in digital plug-ins. The techniques used to profile or model such devices have included deep learning neural networks, the estimation of polynomial functions, and use of lookup tables. It's possible to construct a digital version of a parametric filter that gives the impression of having the correct response within the audio range even when its center frequency is above the Nyquist frequency. We also discover a novel approach to reducing the room effect of reproduced audio signals that preserves the direct sound and early reflections while reducing the influence of late reverberation.

JAES Volume 68 Issue 1/2 pp. 100-104; January 2020
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AES - Audio Engineering Society