A new way to navigate equalization in the music production process
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
引用格式
Christian Steinmetz (2026). flowEQ (https://github.com/csteinmetz1/flowEQ), GitHub. 检索时间: .
一般信息
- 版本 1.0.3 (33.8 MB)
-
在 GitHub 上查看许可证
MATLAB 版本兼容性
- 兼容 R2018a 到 R2019a 的版本
平台兼容性
- Windows
- macOS
- Linux
无法下载基于 GitHub 默认分支的版本
| 版本 | 已发布 | 发行说明 | Action |
|---|---|---|---|
| 1.0.3 |
