desert-ant-labs / clear

Clear — on-device speech enhancement

48 kHz on-device speech enhancement, trained on real Detail team recordings and optimized for a range of microphones, removing background noise and reverberation to leave the voice warm and present, closer to a podcast studio than a phone call. Two premium-tier variants ship from this repo.

Try it

• Curated previews (iOS) — twelve real recordings from boats, hotel rooms, demo days, with before / after for each.
• Run in your browser — drop in your own file, get a clean one back. WebGPU where available, threaded WASM otherwise. Nothing leaves your device.

Variants

If your source is already clean and you want the model to stay invisible, pick clear-natural . Otherwise, clear-studio is the default.

Files

Both variants ship in two formats. Same architecture, same realtime cost — only the weights differ.

Spec

• Architecture: DeepFilterNet 3 (DFN3-half)
• Sample rate: 48 kHz, mono or stereo (per-channel inference)
• Inference contract: spec / feat_erb / feat_spec → spec_enhanced . STFT, ERB, and ISTFT are done host-side via vDSP (Swift) or pure Kotlin

Performance

Both variants share the architecture and run at the same speed. Enhancing a 5-minute clip on the Apple Neural Engine:

Cold model load is ~0.6 s; later loads are ~100 ms via the system ANE cache.

Used in

• Detail — iOS and macOS video recording.
• Subwave — publish audio and video stories.

Built on

• DeepFilterNet 3 by Rikorose — MIT. Fine-tuned on Detail's speech corpus.

License

CC BY-NC 4.0 . Free for research, evaluation, and personal use with attribution. Commercial use requires a separate license — contact [email protected] .

Made by Detail Technologies B.V.