francescopapaleo/neural-audio-spring-reverb
Modelling Spring Reverb with Neural Audio Effects
This project helps audio engineers, music producers, and sound designers model spring reverb effects using neural networks. You can input raw audio or existing reverb datasets, and it generates neural network models that emulate spring reverb, allowing for creative sound design or analysis. It's intended for those working with audio effects, seeking to replicate or understand the unique sound of spring reverb.
Use this if you want to create or analyze realistic spring reverb effects using advanced neural network modeling, especially if you're exploring alternatives to physical devices or traditional digital emulations.
Not ideal if you need a simple, ready-to-use plugin for your Digital Audio Workstation without engaging in model training or customization.
Stars
62
Forks
2
Language
Python
License
AGPL-3.0
Category
Last pushed
Feb 18, 2026
Commits (30d)
0
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