• Home
  • History
  • Annotate
Name Date Size #Lines LOC

..03-May-2022-

doc/H16-Sep-2018-1914

examples/H16-Sep-2018-10164

include/H16-Sep-2018-8431

m4/H16-Sep-2018-442381

scripts/H07-May-2022-

src/H16-Sep-2018-70,40668,986

training/H16-Sep-2018-239170

AUTHORSH A D16-Sep-201837 21

COPYINGH A D16-Sep-20181.5 KiB3226

Makefile.amH A D16-Sep-20182.2 KiB10173

READMEH A D16-Sep-2018697 2316

TRAININGH A D16-Sep-2018305 126

autogen.shH A D16-Sep-2018227 115

configure.acH A D16-Sep-20182.4 KiB10073

rnnoise-nu-uninstalled.pc.inH A D16-Sep-2018336 1411

rnnoise-nu.pc.inH A D16-Sep-2018309 1512

README

1RNNoise is a noise suppression library based on a recurrent neural network.
2RNNoise-nu is a modified version of RNNoise aimed to be a bit more general
3purpose.
4
5To compile, just type:
6% autoreconf -i
7% ./configure
8% make
9
10Optionally:
11% make install
12
13While it is meant to be used as a library, a simple command-line tool is
14provided as an example. It operates on RAW 16-bit (machine endian) mono
15PCM files sampled at 48 kHz. It can be used as:
16
17./examples/rnnoise_demo <number of channels> <maximum attenuation> [model to use] < input.raw > output.raw
18
19The output is also a 16-bit raw PCM file.
20
21For information on the neural network models available, see
22https://github.com/GregorR/rnnoise-models
23