https://github.com/allyourcodebase/rnnoise

https://github.com/xiph/rnnoise
https://github.com/allyourcodebase/rnnoise

Last synced: 5 months ago
JSON representation

https://github.com/xiph/rnnoise

• Host: GitHub
• URL: https://github.com/allyourcodebase/rnnoise
• Owner: allyourcodebase
• License: bsd-3-clause
• Created: 2024-03-27T12:01:32.000Z (almost 2 years ago)
• Default Branch: master
• Last Pushed: 2024-08-30T09:19:11.000Z (over 1 year ago)
• Last Synced: 2025-01-11T15:23:18.306Z (about 1 year ago)
• Language: C
• Size: 826 KB
• Stars: 0
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README
  • License: COPYING
  • Authors: AUTHORS

Awesome Lists containing this project

README

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

A description of the algorithm is provided in the following paper:

J.-M. Valin, A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech

Enhancement, Proceedings of IEEE Multimedia Signal Processing (MMSP) Workshop,

arXiv:1709.08243, 2018.

https://arxiv.org/pdf/1709.08243.pdf

An interactive demo is available at: https://jmvalin.ca/demo/rnnoise/

To compile, just type:

% zig build

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:

./zig-out/bin/rnnoise_demo  

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 .  This is a fork that

replaces the autotools build system with the Zig build system.