# xiph/rnnoise

Recurrent neural network for audio noise reduction

Repository: https://github.com/xiph/rnnoise
Canonical: https://ross.abutalabs.com/products/rnnoise
Language: C
License: BSD-3-Clause
License Family: permissive
Topics: rnn, noise-reduction, audio, c
Last push: 2025-02-22T23:58:31+00:00

## Health v2 (maintenance only)
Score: 26/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 8, release rhythm 8, longevity 100
- inputs: {"age_days": 3317, "days_push": 557, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5801, forks 1071 (observed 2026-08-28T04:09:29.728542+00:00)

## What it is
RNNoise is a C library that uses a hybrid DSP/recurrent neural network approach for real-time full-band speech noise suppression. It also ships with a simple command-line example tool that denoises raw 16-bit mono PCM files at 48 kHz.

## Use cases
- remove background noise from microphone audio in real time
- denoise raw PCM speech recordings
- integrate noise suppression into a VoIP or streaming application
- clean up noisy speech before speech recognition
- train a custom noise reduction model with my own speech and noise data

## When to choose
- you need lightweight, real-time noise suppression in C with low CPU overhead
- you want a proven BSD-licensed denoiser you can embed in audio pipelines
- you work with 48 kHz speech audio and want full-band enhancement

## When to avoid
- you need WAV or compressed audio handling out of the box (the CLI only takes raw PCM)
- you need music or general audio denoising rather than speech enhancement
- you want a high-level Python or GPU-accelerated deep learning denoiser

## Facets
- artifact type: library
- maturity: stable
- function: audio-processing, machine-learning, speech-recognition
- domain: machine-learning, speech-processing
- platform: windows, cpp, cross-platform
- tags: noise-suppression, rnn, dsp, denoising, speech-enhancement, real-time-audio, audio, linux, macos

## Member repositories
- xiph/rnnoise (main) score 26

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:29.728542+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 2026-08-29T17:52:46.389485+00:00, confidence not recorded.
  - readme: https://github.com/xiph/rnnoise (fetched 2026-08-28T04:09:29.728542+00:00, sha 671ee76eb333)
- Data as of 2026-08-30T08:39:29.467469+00:00.