ffmpeg-normalize | Audio Normalization for Python/ffmpeg | Speech library

by slhck Python Version: 1.27.7 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | ffmpeg-normalize Summary

ffmpeg-normalize is a Python library typically used in Artificial Intelligence, Speech applications. ffmpeg-normalize has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install ffmpeg-normalize' or download it from GitHub, PyPI.

A utility for batch-normalizing audio using ffmpeg. This program normalizes media files to a certain loudness level using the EBU R128 loudness normalization procedure. It can also perform RMS-based normalization (where the mean is lifted or attenuated), or peak normalization to a certain target level. Batch processing of several input files is possible, including video files. Read on for more info.

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Quality

Security

License

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Support

ffmpeg-normalize has a medium active ecosystem.

It has 982 star(s) with 101 fork(s). There are 23 watchers for this library.

There were 6 major release(s) in the last 12 months.

There are 5 open issues and 180 have been closed. On average issues are closed in 312 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ffmpeg-normalize is 1.27.7

Quality

ffmpeg-normalize has 0 bugs and 0 code smells.

Security

ffmpeg-normalize has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ffmpeg-normalize code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ffmpeg-normalize is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ffmpeg-normalize releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed ffmpeg-normalize and discovered the below as its top functions. This is intended to give you an instant insight into ffmpeg-normalize implemented functionality, and help decide if they suit your requirements.

Create argument parser
Parse stream of ffmpeg streams
Run the command
Convert time to milliseconds
List of streams
Parse the astats filter
Prune ffmpeg progress output
Run ffmpeg command
Returns a filter string with the pre - filter
Parse ffmpeg stats
Parse loudnorm output from ffmpeg
Convert a dictionary of filter options to a string
Configure a custom logger
Run the normalization process
Add a media file
Split options
Check if ffmpeg version supports loudnorm filter
Get ffmpeg executable
Run normalization
Run ffmpeg
Parse the input file
Return the loudness statistics
Emit a record
Set tqdm lock

Get all kandi verified functions for this library.

ffmpeg-normalize Key Features

No Key Features are available at this moment for ffmpeg-normalize.

ffmpeg-normalize Examples and Code Snippets

batch FFMPEG-Normalize AND convert via Python?

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

ffmpeg-normalize --ebu --acodec libmp3lame --extra-options "-b:a 192k" *.wav

ffmpeg-normalize pip install failing

Python

Lines of Code : 6

License : Strong Copyleft (CC BY-SA 4.0)

Copy

with open('README.rst') as readme_file:

with open('README.rst', encoding='utf8') as readme_file:

pip install .

Dependency in requirement.txt not installed

Python

Lines of Code : 10

License : Strong Copyleft (CC BY-SA 4.0)

Copy

gcloud app instances list

gcloud beta app instances ssh [instance] 
    --service [svc] 
    --version [v] 
    --container gaeapp

docker build -t myapp .
docker run -it -p 8080:8080 myapp

Community Discussions

Trending Discussions on ffmpeg-normalize

How do I prevent an infinite loop in windows batch file for in do command?

batch FFMPEG-Normalize AND convert via Python?

After a clean install of OpenCV via pip it throws an ImportError: DLL load failed

ffmpeg-normalize pip install failing

Dependency in requirement.txt not installed

QUESTION

How do I prevent an infinite loop in windows batch file for in do command?

Asked 2019-Dec-25 at 13:32

I have wav files I am normalizing with ffmpeg-normalize (a python program). My batch file is this for %%n in (*.wav) do ffmpeg-normalize "%%n" -nt peak -t 0 -o "%%n-norm.wav"

In my directory of 5 files, I get 5 -norm.wav files. Unfortunately then, the batch file creates 5 -norm.wav-norm.wav files and so on and so on. Why wouldn't it stop at the original list of 5 files?

...

ANSWER

Answered 2019-Dec-25 at 13:32

I think the problem is that a standard for loop does not fully enumerate the target directory in advance (see also this related thread), and that the output files also match the pattern (*.wav) for the input files. The first issue could be solved by using a for /F loop that parses the output of the dir command, so the complete file list is generated before looping even starts; the second issue could be solved by an additional filter constituted by findstr to exclude output files to become reprocessed (when the script is executed more often than once):

Source https://stackoverflow.com/questions/59464769

QUESTION

batch FFMPEG-Normalize AND convert via Python?

Asked 2017-Nov-09 at 08:26

I am currently working on a script to help me batch convert and normalize audio files (wma to mp3) In the search of useful tools I was lucky to stumble on FFMPEG-Normalize!

My script is running from Python and I am calling FFMPEG via subprocess. I could not get the FFMPEG-Normalize to output Mp3 files - thus I am doing another FFMPEG call to convert the resulted wav files. Do you know how to make FFMPEG normalize also convert to mp3 ? The second issue is that only part of the files in my folder are being processed, I cant understand why. Out of 8 files I have in the path, sometimes all of them are processed and sometimes only 3, or 5... very weird! Here is my code :

...

ANSWER

Answered 2017-Nov-09 at 08:26

The ffmpeg-normalize tool allows you to set an audio encoder as well, using the -a, --acodec option.

For example, to EBU R128-normalize a bunch of WAV files and encode them to MP3 with libmp3lame:

Source https://stackoverflow.com/questions/47187643

QUESTION

After a clean install of OpenCV via pip it throws an ImportError: DLL load failed

Asked 2017-Jun-20 at 13:12

After installing OpenCV via pip on Windows 10 with:

...

ANSWER

Answered 2017-Jun-20 at 13:12

The opencv-python Windows packages ship with FFmpeg by default. You can have a look at C:\ProgramData\Anaconda3\lib\site-packages\cv2 and you should find FFmpeg DLL there. You don't have to install it separately.

The real problem lies most probably in Anaconda because they are not shipping python3.dll with their distribution. This is required by PEP 384. Related Anaconda issue is here: https://github.com/ContinuumIO/anaconda-issues/issues/1394

To fix this, you will have to copy python3.dll from a CPython installer package and place it to PATH. The CPython version must match your Anaconda version. Easiest way is to copy the file to some place which is already in PATH. This could be for example C:\Anaconda3 if that's where your Anaconda installation is located.

If the above does not work, make sure that you have Visual C++ redistributable 2015 installed: https://www.microsoft.com/en-us/download/details.aspx?id=48145

Source https://stackoverflow.com/questions/44649949

QUESTION

ffmpeg-normalize pip install failing

Asked 2017-Apr-02 at 15:08

I am trying to pip install ffmpeg-normalize in Python 3.6.1. This used to work fine in Python 2.7.13 but not in the latest version, it seems.

In an elevated command prompt i type: pip install ffmpeg-normalize

I continue to get Command "python setup.py egg_info" failed with error code 1 for some reason and I am not sure what this means...

...

ANSWER

Answered 2017-Apr-02 at 15:08

This looks like a bug in setup.py to me. Since the default encoding used in python 3 when opening a file in text mode is platform-dependent, an encoding should be explicitly provided. Otherwise the result of a read operation will be unpredictable and it will fail if the default encoding can't handle the file's content, as happened in your case.

You should be able to fix it by checking out the source code and changing this line:

Source https://stackoverflow.com/questions/43169326

QUESTION

Dependency in requirement.txt not installed

Asked 2017-Mar-05 at 00:48

I need to deploy a flask app to google app engine. I used docker and there lines are in Dockerfile:

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ANSWER

Answered 2017-Mar-05 at 00:48

This could be happening for a few reasons. Here are my guesses :)

How do you know the package isn't being installed? Can you share the docker build output that happens when you gcloud app deploy?

Another thing to try here, just to be sure is to run:

Source https://stackoverflow.com/questions/42586507

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ffmpeg-normalize

Or download this repository, then run pip install ..

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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