Modeling Audio Effects

Rumsey F. Modeling Audio Effects. J Audio Eng Soc. 2020;68(1/2):100-104. Available from: https://aes.org/publications/elibrary-page/?id=20721

@article{Rumsey2020_20721,
  author = {Rumsey, Francis},
  title = {{Modeling Audio Effects}},
  journal = {Journal of the Audio Engineering Society},
  volume = {68},
  number = {1/2},
  pages = {100--104},
  year = {2020},
  month = jan,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20721}
}

TY  - JOUR
TI  - Modeling Audio Effects
AU  - Rumsey, Francis
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 68
IS  - 1/2
SP  - 100
EP  - 104
PY  - 2020
DA  - 2020/01/06
UR  - https://aes.org/publications/elibrary-page/?id=20721
PB  - Audio Engineering Society
LA  - en
AB  - [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.
ER  -