flowEQ
A new way to navigate equalization in the music production process
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flowEQ uses a disentangled variational autoencoder (β-VAE) in order to provide a new modality for modifying the timbre of recordings via a parametric equalizer. By using the trained decoder network, the user can more quickly search through the configurations of a five band parametric equalizer. This methodology promotes using one's ears to determine the proper EQ settings instead of looking at transfer functions or specific frequency controls. Two main modes of operation are provided (Traverse and Semantic), which allow users to sample from the latent space of the 12 train models.
Download the VST/AU plugin from https://flowEQ.ml
Cite As
Christian Steinmetz (2026). flowEQ (https://github.com/csteinmetz1/flowEQ), GitHub. Retrieved .
General Information
- Version 1.0.3 (33.8 MB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with R2018a to R2019a
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.3 |
