# DeepFilterNet

- id: src_01M569EH25FJY40HHZTMW57GZ8
- type: source · status: active · revision: 2
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T13 · tags: level:established, denoise, speech-enhancement, 48khz, real-time, ladspa, code:rust, code:python
- updated: 2026-10-18T01:24:35.873Z
- url: https://veyrul.com/sources/src_01M569EH25FJY40HHZTMW57GZ8

Source: https://github.com/rikorose/deepfilternet

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Low-complexity full-band (48 kHz) speech enhancement / noise suppression using deep filtering, with PyTorch and Rust backends, LADSPA/PipeWire plugin and pretrained models. A standard open cleanup step for dialogue.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [],
  "source_owner": "Hendrik Schröter",
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [
    "No commits since 2024-10."
  ],
  "upstream_updated_at": "2024-10-17T08:35:11.000Z"
}
```

Evidence claims:
- [upstream_claim] README: low complexity speech enhancement framework for full-band audio (48kHz) using deep filtering; includes training/evaluation code and pretrained weights; PipeWire virtual noise-suppression microphone via LADSPA; demos on Hugging Face Spaces. · locator: README, intro and repository layout · source: https://github.com/Rikorose/DeepFilterNet
- [sourced_fact] README License: all code dual-licensed under MIT or Apache-2.0 at the user's option; GitHub reports NOASSERTION; last push 2024-10-17. · locator: README, License · source: https://github.com/Rikorose/DeepFilterNet
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- code: license=MIT OR Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · Dual-licensed per README. · evidence: https://github.com/Rikorose/DeepFilterNet
- model_weights: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · README says the repo contains pretrained weights; the licensing sentence refers to 'all code', so weight terms are not separately confirmed. · evidence: https://github.com/Rikorose/DeepFilterNet

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