# Rikorose/DeepFilterNet

Noise supression using deep filtering

Repository: https://github.com/Rikorose/DeepFilterNet
Canonical: https://ross.abutalabs.com/products/deepfilternet
Homepage: https://huggingface.co/spaces/hshr/DeepFilterNet2
Language: Python
License: NOASSERTION
License Family: other
Topics: pytorch, audio, deep-learning, speech-enhancement, noise-suppression, speech, rust
Last push: 2024-10-17T08:35:11+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1788, "days_push": 685, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4632, forks 506 (observed 2026-08-28T04:08:55.315462+00:00)

## What it is
DeepFilterNet is a low-complexity speech enhancement framework that performs real-time noise suppression on full-band 48kHz audio using deep filtering neural networks. It ships as a Python/PyTorch library, a pre-compiled Rust CLI binary, and a LADSPA plugin for use as a virtual noise-suppression microphone.

## Use cases
- remove background noise from wav recordings
- real-time microphone noise suppression on linux with pipewire
- denoise audio files from the command line
- enhance speech for calls or streaming
- run speech enhancement on embedded devices
- train a custom speech enhancement model

## When to choose
- you need low-latency, real-time noise suppression for full-band 48kHz audio
- you want a lightweight Rust binary without Python dependencies
- you need a system-wide virtual noise-suppression microphone via LADSPA/PipeWire
- you want to experiment with or train speech enhancement models in PyTorch

## When to avoid
- your audio is not 48kHz wav (the CLI only supports that)
- you need general audio processing beyond speech enhancement
- you require a fully permissive license (the repo license is non-standard)
- you need GPU-accelerated batch processing via the CLI (GPU requires the Python backend)

## Facets
- artifact type: library
- maturity: active
- function: audio-processing, machine-learning, deep-learning, speech-recognition
- domain: machine-learning, deep-learning, speech-processing
- platform: windows, python, rust
- tags: noise-suppression, speech-enhancement, deep-filtering, real-time-audio, ladspa-plugin, pytorch, fullband-audio, audio, linux, macos

## Member repositories
- Rikorose/DeepFilterNet (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:55.315462+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:19:35.772580+00:00, confidence not recorded.
  - readme: https://github.com/Rikorose/DeepFilterNet (fetched 2026-08-28T04:08:55.315462+00:00, sha 7a5b6ca0fb75)
  - homepage: https://huggingface.co/spaces/hshr/DeepFilterNet2 (fetched 2026-08-29T09:04:19.120485+00:00, sha 1a838f744f7a)
  - registry_pypi: https://pypi.org/pypi/deepfilternet/json (fetched 2026-08-29T09:04:19.123049+00:00, sha 76f201a25882)
- Data as of 2026-08-30T08:39:29.467469+00:00.