Sound
The Clarity Series

Thunder Clarity

v0.1In development

Every recording carries the room it was made in. Thunder Clarity pulls the voice, its own reverb tail, and the ambience apart into three layers — then hands you a fader for each, in real time.

The Thunder Clarity interface: a separation monitor with Voice, Voice Reverb and Ambience levels, and three faders.

The three faders

Turn the room down. Keep the voice.

Noise gates and de-reverbs work by removing — and you hear the removal, as pumping, as gating, as a voice that breathes in and out of a hole. Thunder Clarity does not remove anything. It separates first, then lets you rebalance what came apart.

Voice

The separated dry voice. Push it up to bring dialogue forward — this is the core of de-noising, done by lifting rather than by cutting.

Voice Reverb

The voice's own reverb tail, on its own fader. Pull it down to de-reverb a roomy take; push it up when the natural space is the point.

Ambience

Everything else in the room — traffic, hum, crowd, air. Pull it down to de-noise, or push it up to keep the scene and isolate the room instead.

Separation — the mechanismfloor between words 0.0 dB

A diagram, not a recording — no audio is being processed on this page. It shows the one thing that matters about separation: pull Ambience down and the floor between words drops while the voice stays exactly where it was. In the shipping Phase-1 build that is measured at −11 dB.

Each fader is a balance, not a gate. You are remixing separated stems, so there is no pumping and no gating artifact when a layer comes down — and unity is bit-exactly transparent. Built for streamers, post-production, podcasts and musicians.

The engine

What we stand on, and what we built.

The separation core is a real-time neural speech enhancer. We did not reinvent the model from zero — we stand on openly-licensed research and put our work where it actually differentiates.

We stand on

DeepFilterNet

Real-time full-band speech enhancement — de-noise and de-reverb — with pretrained models. MIT / Apache-2.0, a Rust core behind a C API.

We stand on

RNNoise

Lightweight RNN noise suppression from Xiph, BSD-licensed. It is the low-latency path, for when you are monitoring live rather than mixing.

We built

Everything you touch

The stem-rebalancing DSP, the reverb and ambience split, the fault-tolerant real-time host integration, and the plugin itself.

Both cores are permissively licensed and commercially usable with attribution, which we carry in the product. Naming them is not a disclaimer — it is how you can check what is actually ours.

Where it stands

Phase one works. We will not pretend the rest does.

The streaming spectral separator is in and running: pull Ambience down and it de-noises, with −11 dB measured on the noise floor in the gaps between words while the voice stays where it was. The deep neural core and the dedicated reverb stem are still being built.

Working now
Real streaming-STFT separation. Voice and Ambience faders. Bit-exact transparency at unity.
Next
The neural core, for deeper suppression than a classic separator can reach.
After that
The dedicated Voice Reverb stem, and a selectable low-latency path for live monitoring.
Foundation
Openly-licensed research engines rather than a model reinvented from zero — with the same input-integrity guard and fail-safe reversion proven in Sibilance.
Formats
VST3 · Audio Unit · CLAP · Standalone. JUCE 8 · C++20.