RNNoise_Wrapper

(★ 185)

A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.

  • .dockerignore
  • .gitignore
  • compile_rnnoise.sh
  • LICENSE
  • MANIFEST.in
  • README.md
  • requirements.txt
  • requirements_tests.txt
  • requirements_train.txt
  • rnnoise_master_20.11.2020.zip
  • rnnoise_wrapper_comparative_test.py
  • rnnoise_wrapper_functional_tests.py
  • setup.py
  • TRAINING.md

# Installation Guide

1. Get the code
git clone https://github.com/dbklim/RNNoise_Wrapper

Downloads the entire project code from GitHub to your computer.

cd RNNoise_Wrapper

Moves into the project folder you just downloaded.

2. Official Install Script

Easy Recommended
Prerequisites
  • Python 3 Python is required to use pip.
  • APT (Debian/Ubuntu 계열) Built into Debian/Ubuntu-based Linux distributions.
pip install git+https://github.com/Desklop/RNNoise_Wrapper

Installs the package published on PyPI directly — no need to clone the source.

sudo apt-get install autoconf libtool

Installs directly from the APT package repository (Debian/Ubuntu-based).

After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.

Pulled directly from this repo's README.

3. Python

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
pip install git+https://github.com/Desklop/RNNoise_Wrapper

Installs the package published on PyPI directly — no need to clone the source.

python3 -m rnnoise_wrapper.cli -i input.wav -o output.wav

Runs the Python script (or module).

If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

// repository documentation