# Paranorm Audio

> Paranorm Audio: audio plug-in prototypes for macOS by Márton Fenyvesi, sound engineer, AI researcher and developer, some made with the engineers and producers he works with.

Paranorm Audio is a brand of Márton Fenyvesi. Based in Vienna, Austria. All prototypes are for macOS (Audio Unit, VST3, CLAP); none is released yet, and no prices are set.

## Plug-in prototypes

- [The Master’s Power](https://paranormaudio.com/plugins/the-masters-power/): Mastering limiter. My experiment in a modular mastering limiter, with fine-tuning from transparency to character.
- [The Master’s Movement](https://paranormaudio.com/plugins/the-masters-movement/): Two-band compressor. Two bands with cross-compression, each responding to the other in a musical way.
- [The Master’s Hand](https://paranormaudio.com/plugins/the-masters-hand/): Compressor. A simple compressor for quick work: Push lifts the quiet parts, Pull holds the loud ones.
- [Doór’s Return](https://paranormaudio.com/plugins/the-masters-return/): Parallel processing. Doór’s own parallel-processing workflow in a single insert, for production, mixing and mastering. Made with a collaborator.
- [MKMIX Space](https://paranormaudio.com/plugins/the-masters-space/): Room correction. Miklós Kovács’s own approach to musical room correction, worked out by hand, now built into a plug-in and a standalone device. Made with a collaborator.

## Ongoing research

- [The Master’s Agent](https://paranormaudio.com/agent/): I am investigating whether an assistant can relate three things: the signal’s measured behaviour, one user’s verbal description of it, and the plug-in’s parameters. It analyses the audio, interprets the user’s descriptors, and learns from blind comparisons which parameter changes that user accepts or rejects. The aim is an everyday extension for the plug-ins: you describe what you hear, it proposes a small change in your own terms, and you decide.
- [The Master’s Bench](https://paranormaudio.com/bench/): I am investigating whether a plug-in’s behaviour can be opened up into modules that can be heard on their own and shaped by ear, so that what makes a processor effective and musical can be learned, not only used. The aim is to carry what holds up into everyday tools, and into a way of learning.

## About

- [Márton Fenyvesi](https://paranormaudio.com/about/): Sound engineer, AI researcher and developer.
- [Collaborators](https://paranormaudio.com/collaborators/): DOÓR (Mátyás Doór), MKMIX (Miklós Kovács).
- [How the prototypes are made](https://paranormaudio.com/craft/)

## Optional

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