Subsync

Synchronize your subtitles using machine learning

Subsync analyses and processes the sound from your media files and uses machine learning to detect speech. Speech detection is used to shift existing subtitles for a perfect match in audio and text!

Features

[x] Machine learning model for voice activity detection (not recognition)
[x] Shift subtitle as a whole for best match
[x] Sync every sentence in the subtitle individually
[ ] Sync using existing matched subtitle in a different laguage

Dependencies

ffmpeg (https://www.ffmpeg.org/download.html)

Installation

pip install subsync

Help

usage: subsync [-h] [--version] [--graph] [-d SECONDS] [-m SECONDS] [-s]
                   [--logfile PATH]
                   MEDIA [MEDIA ...]

positional arguments:
  MEDIA                 media for which to synchronize subtitles

optional arguments:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  --graph               show graph for subtitle synchronization (default:
                        False)
  -d SECONDS, --duration SECONDS
                        duration (in seconds) of the sample audio length
                        increases precision but reduces speed (default: 900)
  -m SECONDS, --margin SECONDS
                        the margin in which to search for a subtitle match
                        (default: 12)
  -s, --start           sample audio from the start of the media instad of the
                        middle (default: False)
  -r, --recursive       recurviely sync every sentence in the subtitle
                        (default: False)
  --logfile PATH        path to location of log file for logging application
                        specific information (default: None)

Special thanks

[1] Automatic Subtitle Synchronization through Machine Learning

tympanix / subsync