flowEQ

Version 1.0.3 (33.8 MB) by Christian Steinmetz
A new way to navigate equalization in the music production process
5.0
(1)
121 Downloads
Updated 11 Dec 2022
View License on GitHub

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 (2024). flowEQ (https://github.com/csteinmetz1/flowEQ), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with R2018a to R2019a
Platform Compatibility
Windows macOS Linux

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Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.0.3

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.