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https://github.com/abinashmeher999/voice-data-extract
A command line interface to combine text information from subtitles with voice data in the video. Provides a convenient way to generate training data for speech-recognition purposes.
https://github.com/abinashmeher999/voice-data-extract
speech-recognition speech-to-text training-data
Last synced: 2 days ago
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A command line interface to combine text information from subtitles with voice data in the video. Provides a convenient way to generate training data for speech-recognition purposes.
- Host: GitHub
- URL: https://github.com/abinashmeher999/voice-data-extract
- Owner: abinashmeher999
- License: mit
- Created: 2017-07-19T17:40:50.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-10-04T00:58:11.000Z (about 1 year ago)
- Last Synced: 2024-12-27T22:54:43.175Z (6 days ago)
- Topics: speech-recognition, speech-to-text, training-data
- Language: Python
- Size: 26.4 KB
- Stars: 19
- Watchers: 2
- Forks: 6
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES.rst
- License: LICENSE.txt
- Authors: AUTHORS.rst
Awesome Lists containing this project
README
voice-data-extract
==================
[](https://badge.fury.io/py/srtvoiceext)
A command line interface to combine text information from subtitles with voice data in the video.
Provides a convenient way to generate training data for speech-recognition purposes.
Description
===========
The project provides a quick way to generate audio training data for speech-recognition machine learning models.
It utilises the vast knowledge bank of annotated voice data we already have, **Subtitles!!**
It reads the subtitles line by line and clips the audio from the video for the corresponding time interval.
example usage:
```bash
$ srt_voice -fv video.mkv -fs subtitles.srt -o output_dir
```
This then follows a series a prompts that allow you to decide to whether to keep or discard an audio clip. Like the one given below
```
I know what you are.
[y: Keep] [n: Delete] [r: Repeat] [q: Quit]
Kept as 5-I_know_what_you_are-f3nKAy.mp3
------------------------------------------
```
It creates the directory `output_dir` and nicely arranges the audio clips there.
**The training text (utf-8 encoded) is kept intact as the `title` attribute of the mp3 file.**
For more usage options:
```bash
$ srt_voice -h
```
------
Setup
=====
You will need these
- [Audacious Music Player](http://audacious-media-player.org/download)
- [Python 3](https://launchpad.net/~fkrull/+archive/ubuntu/deadsnakes) (Optional, but recommended because of some syncing issues in moviepy)
Then:
```bash
$ pip install srtvoiceext
```
------
This has been possible only because of the hard work of the maintainers of packages like
- moviepy
- pysrt
- mutagen
- shortuuid
*This project has been set up using PyScaffold 2.5.7. For details and usage
information on PyScaffold see http://pyscaffold.readthedocs.org/.*