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peertube-plugin-display-transcription-test

v0.0.2

Published

Generate subtitles for your videos via Automatic Speech Recognition.

Downloads

3

Vulnerabilities

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Links

Git

Maintainers

fairkomfairkom

Keywords

peertubeplugintranscription

Readme

PeerTube Transcription Plugin

A PeerTube plugin generating subtitles for your videos via Automatic Speech Recognition.

Powered by Vosk.

Installation

PeerTube UI

Browse to Administration > Plugin/Themes > Search and type transcription in the search bar: Searching the PeerTube plugins catalogue

Click Install then Confirm.

Yarn (or npm) script

yarn plugin:install -n peertube-plugin-transcription

In production you may have to specify env variables:

cd /var/www/peertube/peertube-latest/
NODE_ENV=production NODE_CONFIG_DIR=/var/www/peertube/config yarn plugin:install -n peertube-plugin-transcription

PeerTube CLI

Setup PeerTube CLI: https://docs.joinpeertube.org/maintain-tools?id=installation

peertube plugins install --npm-name peertube-plugin-transcription

Usage

The video transcription happens when you Update a video and set its language.

The process is executed in the background and, in our tests, lasted for half the time of the video.

For example, it took approximately 5 minutes to transcript a 10 minutes long video.

There are currently no notifications to warn the user when the process is over (see Chocobozzz/PeerTube#5076. If it succeeded, a caption should be present in the Captions tab of the video edition page.

If not, feel free to fill an issue.

By default, a light language training model is used, so you may be disappointed by the quality of the transcript and may wish to choose a larger model for better results (see below).

Settings

From the transcription plugin settings page, you may choose a language training model for the available languages.

Transcription plugin configuration page

You'll probably need to configure only the few you'll be using on your instance since some of them may weight up to 2 Gb!

Only languages with available training are currently proposed. Checkout the following page for a better description of each available models: https://alphacephei.com/vosk/models

Documentation

About

Initial codebase developed with the financial support of the Direction du Numérique pour l'Éducation (DNE) for the ministry of Éducation nationale, de la Jeunesse et des Sports (french ministry of education) in the context of the apps.education.fr initiative.

License

EUPL