RNNoise

6.6easy start · #13 of 25
in AI Noise Cancellation Software

Runs on Linux.

RNNoise is ranked #13 of 25 in AI noise cancellation software on The Geeks Club. It runs on Linux. There is a free plan.

RNNoise plans and pricing

RNNoise Free BSD-3-Clause license · no paid plans stated github.com · 4 Oct 2026

Kleervox 0 of 4 in the starter kit Lesson 17.7 Noise Blocker 0 of 4 in the starter kit Lesson 27.6 Krisp AI Meeting Assistant 0 of 4 in the starter kit Lesson 37.1 NVIDIA ShadowPlay 0 of 4 in the starter kit Lesson 47.1 NoiseTorch-ng 0 of 4 in the starter kit Lesson 57.0 neep 0 of 4 in the starter kit Lesson 66.9

Purpose: RNNoise is a noise suppression library based on a recurrent neural network.
Use: The project is intended to be used as a library and includes a command-line demo.
Input format: The demo processes mono 16-bit raw PCM at 48 kHz and its input and output are raw files, not WAV.
Build: The README gives an autotools build sequence using autogen.sh, configure, and make.
CPU optimization: The project recommends AVX2 and describes AVX2 or SSE4.1 runtime CPU detection as build options.
Models: RNNoise can use its included default model or load a custom model from a file, filename, or memory buffer through its API.
Smaller model: The README describes an alternative little model with increased sparsity.
Training: Model training requires clean speech and noise data sampled at 48 kHz in 16-bit PCM format.
License: The repository identifies its license as BSD-3-Clause.
Support: Xiph directs people to its mailing lists or IRC channels for contacting the foundation and community.
Security: The opened project pages state a software license but do not describe security certifications or compliance.
Distribution: The README says the GitHub repository is a convenience copy and identifies GitLab as the location of the latest source.
Price from: Free

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