Skip to content
master
Switch branches/tags
Code
This branch is up to date with master.
Contribute

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
doc
 
 
 
 
 
 
m4
 
 
 
 
src
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
RNNoise is a noise suppression library based on a recurrent neural network.
RNNoise-nu is a modified version of RNNoise aimed to be a bit more general
purpose.

To compile, just type:
% autoreconf -i
% ./configure
% make

Optionally:
% make install

While it is meant to be used as a library, a simple command-line tool is
provided as an example. It operates on RAW 16-bit (machine endian) mono
PCM files sampled at 48 kHz. It can be used as:

./examples/rnnoise_demo <number of channels> <maximum attenuation> [model to use] < input.raw > output.raw

The output is also a 16-bit raw PCM file.

For information on the neural network models available, see
https://github.com/GregorR/rnnoise-models

About

Recurrent neural network for audio noise reduction, slightly improved for general use

Resources

License

Releases

No releases published

Packages

No packages published

Languages