DeepFilterNet
Source: https://github.com/rikorose/deepfilternet
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"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",
"source_owner": "Hendrik Schröter",
"next_check_at": "2026-10-31T00:00:00.000Z",
"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
- [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
- [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
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | MIT OR Apache-2.0 | permitted | permitted | permitted | unknown | Dual-licensed per README. |
| model_weights | unknown | unknown | unknown | unknown | unknown | README says the repo contains pretrained weights; the licensing sentence refers to 'all code', so weight terms are not separately confirmed. |