audiotame 0.1.1

Command-line tool that normalizes audio and reduces noise.

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title: Audiotame sdk: docker app_port: 7860 pinned: true colorFrom: purple colorTo: red language: en license: "mit" tags: ["audio", "normalization", "noise reduction", "normalize audio", "acx", "audio conversion"]

AudioTame

A command-line tool that normalizes audio and reduces noise. This tool aims to effortless create an audio file that is high in quality. It targets an integrated loudness (LUFS, RMS) close to 20, by default. It uses ffmpeg-normalize and additional ffmpeg filters to achieve the desired result, as well as SoX and mp3gain.

Audiotame has an ACX Check. Notice, however, that while meeting these requirements may be desirable for some users, it not guaranteed to be achieved on the first run without some tweaks.

Also, it uses Bash, so it is not expected to work on Windows systems, unless used under WSL or containers.

A live demo is running on HuggingFace

Contents

• Installation
  • System Packages
  • Pip
  • Docker/Podman
    • Build from Source
    • Pull the Image
• Usage
  • CLI
    • Tame Audio
    • ACX Check
    • Environment File
  • Gradio

Installation

System Packages

• ffmpeg
• sox
• mp3gain
• python3
• python3-pip

Pip Package

python3 -m pip install audiotame

If you wish to use this program with Gradio's Web UI:

python3 -m pip install audiotame[gui]

Notice: even installing the pip package, you still need to install system packages.

Docker/Podman Image

Build the Image from Source

git clone --recurse-submodules https://github.com/lvxvvv/audiotame.git audiotame
cd audiotame
podman build . -t audiotame

Pull the Image

podman pull ghcr.io/lvxvvv/audiotame:cli

podman pull ghcr.io/lvxvvv/audiotame:gradio

Then, you can run:

podman run --rm -it --volume "$(pwd)":/tmp audiotame:cli

podman run -it -p 7860:7860 audiotame:gradio

Using Alias

u can you use an alias in your ~/.bashrc:

alias audiotame='podman run --rm --volume "$(pwd)":/tmp audiotame:cli'

alias audiotame_gr='podman run --rm -p 7860:7860 audiotame:gradio'

Or use echo:

echo 'alias audiotame='"'"'podman run --rm --volume "$(pwd)":/tmp audiotame'"'" >> ~/.bashrc

echo 'alias audiotame_gr='"'"'podman run -it --rm -p 7860:7860 audiotame:gradio'"'" >> ~/.bashrc

Then,

source ~/.bashrc

The directory from wich you run audiotame command will be mounted in /tmp, which is also the working directory. So, a file named audio.wav in your current directory can be passed to the program with:

audiotame audio.wav

Usage:

CLI

Tame Audio

audiotame path_to_file [optional|pass|float|stats|acx|sr|br|convert] [optional|pass|float|(int)k|file_extension]

path_to_file is mandatory. Other parameters are optional.

Example:

audiotame path_to_file

This outputs file-tamed.wav in the same directory as the file is located.

Notice: The functions below - change peak level, change sample rate, change bit rate - may not work with all file formats. Changing peak level and sampling rate always work for .wav files, but that not may be the case for other file formats. Also, except for changing the peak level, the other functions are standalone, that is, they are not run inside the main function of the program

Change peak level

Set the db limit for the audio. For example, to tweak to -5.0 before normalization and to -3.0 after normalization:

audiotame path_to_file -5.0 -3.0

If you wish to tweak the peak only after the normalization:

audiotame path_to_file pass -3.0

Change Sampling Rate

audiotame path_to_file sr num

Example:

Change the sampling rate of audio.wav to 44.1khz

audiotame audio.wav sr 44100

Convert

audiotame path_to_file convert file_extension

Example:

audiotame audio.wav convert mp3

Change Bit Rate

audiotame path_to_file br numk

Example:

Change the sampling rate of audio.wav to 192kbps

audiotame audio.wav br 192k

Stats

Check stats of an audio:

audiotame path_to_file stats

ACX Check

acx can be passed as the second argument to verify if an audio complies with ACX's requirements:

audiotame path_to_file acx

Parameter	Requirement
Integrated Loudness	–23 dB to –18 dB
Peak Level	≤ –3 dB
Bit Rate	≥ 192 kbps (CBR)
Sample Rate	44.1 kHz

Environment File

This program uses some variables as default:

DB_PEAK_BEFORE_ALL="-100"
DB_PEAK_AFTER_NORM="-100"
NORM_TYPE="ebu"
LOUD_TARGET="-21"
ARNNDN=0
ARNNDN_MODEL="cb.rnnn"
SOX_DENOISE=1
SOX_FACTOR=0.21
SOX_NOISE_THRESHOLD="-50"
SOX_NOISE_MIN_DURATION=0.5
REGULAR_DENOISE=1
REGULAR_NOISE_THRESHOLD="-50"
SILENCE_FLOOR="-60"
DEBUG=0

• NORM_TYPE: Normalization type: ebu ou rms;

• LOUD_TARGET: Normalization loudness target;

• ARNNDN: whether to use RNN (ffmpeg's arnndn filter). Must be 0 or 1;

• SOX_DENOISE: whether to denoise (except for arnndn, which is a separete category) the audio or not with sox. Must be 0 or 1. If 0;

• SOX_FACTOR: the factor that sox will use to denoise your audio. 0 is none, 1 is maximum. best values are regarded to be in 0.2-0.3 range;

• SOX_NOISE_THRESHOLD: the dB value that sets a threshold below which sound is considered noise by sox;

• SOX_NOISE_MIN_DURATION: the minimum duration that a sound that is below the threshold to be considered noise by sox. The default is 0.5s;

• REGULAR_DENOISE: whether to denoise using ffmpeg's regular filter (lowers intensity of audio below the threshold);

• REGULAR_NOISE_THRESHOLD: he dB value that sets a threshold below which sound is considered noise by ffmpeg;

• SILENCE_FLOOR: the dB value that sets a threshold below which sound is considered silence.

• DEBUG: will print to the console stats of audio files generated at each step.

NORM_TYPE and LOUD_TARGET are set in accordance to ffmpeg-normalize.

Available ARNNDN models are in (https://github.com/richardpl/arnndn-models).

You can override these values with a .env file in the directory from which you run audiotame. Accepted names are audiotame.env, env.audiotame, .env. Or can have a file in ~/.env.audiotame or in ~/.config/.env.audiotame

Example of a .env file:

export NORM_TYPE="rms"
export LOUD_TARGET="-14"
export ARNNDN=1

Gradio

After installing the package with pip, you can launch gradio with:

audiotame --gradio

Or, you can pull the gradio image