GitHub - noisetorch/rnnoise: Recurrent neural network for audio noise reduction

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Recurrent neural network for audio noise reduction

BSD-3-Clause license

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Name		Name	Last commit message	Last commit date
Latest commit History 88 Commits
doc		doc
examples		examples
include		include
m4		m4
src		src
training		training
AUTHORS		AUTHORS
COPYING		COPYING
Makefile.am		Makefile.am
README		README
TRAINING-README		TRAINING-README
autogen.sh		autogen.sh
configure.ac		configure.ac
rnnoise-uninstalled.pc.in		rnnoise-uninstalled.pc.in
rnnoise.pc.in		rnnoise.pc.in
update_version		update_version

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RNNoise is a noise suppression library based on a recurrent neural network.

To compile, just type:
% ./autogen.sh
% ./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 <noisy speech> <output denoised>

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

The latest version of the source is available from
https://gitlab.xiph.org/xiph/rnnoise .  The github repository
is a convenience copy.