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hlvox

Pieces together voice files to form sentences

pipPyPI
Version
0.17.0
Maintainers
1

HLVox

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Originally intended to create sentences from the word snippets for the Half Life 1 Vox, this project can take a folder of word audio files and piece them into sentences. This repo when used standalone (ie by running voice.py directly) will output the sentences as audio files.

Getting Started

To use this project, you will first need a folder full of voice files. If you have Half Life 1 installed, the voices can be extracted from the VPK files using something like GCFScape.

Prerequisites

Check pipenv file for Python package requirements.

An installation of FFMpeg is required. On Ubuntu, just run the following:

apt update
apt install ffmpeg

For persistence, a local sqlite database can be used, or a postgresql database. These are not exposed through the basic CLI.

Installing

How to set up a basic dev environment:

Pull this repo

git pull https://gitlab.com/bhagen/hlvox.git

Change into the new repo directory

cd hlvox

Install requirements using pipenv

pipenv install 

Enter pipenv

pipenv shell

Quick Start

If you want to jump right into generating a sentence, you can point voice.py at a folder of voice audio files!

python hlvox/voice.py --voice-dir ~/my_folder_of_voice_files "the sentence I want to generate"

Your sentence will be exported in the same directory that you ran the file from.

Installing package locally for development

After entering pipenv shell:

pip install --editable .

Running the tests

Just run pytest from the base directory of the repo

Documentation Generation

I used Sphinx to create autodoc documentation from docstrings in the modules.

Change into doc directory

cd doc

(If you've modified the source code, grab the new apidocs

sphinx-apidoc -f -o ./source ../hlvox

Generate documentation

make html

Authors

  • Blair Hagen - Initial work - bhagen

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

  • Thanks to Valve for making such an amazing voice

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