EveryVoice TTS Toolkit 💬

This is the Text-to-Speech (TTS) toolkit used by the Small Teams "Speech Generation for Indigenous Language Education" project.

Quickstart from PyPI

• Install Python 3.10, 3.11, or 3.12 and create a venv or a conda env for EveryVoice.

• Install sox.

  • On Ubuntu, sudo apt-get install sox should work.
  • Other Linux distros should have equivalent packages.
  • With Conda, conda install sox -c conda-forge is reliable.

• Install ffmpeg:

  • On Ubuntu, sudo apt-get install ffmpeg should work.
  • Other Linux distros should have an equivalent package.
  • With Conda, conda install ffmpeg is reliable.
  • Or, use the applicable link under "Get packages & executables files" at https://www.ffmpeg.org/download.html

• Install torch and torchaudio version 2.1.0 for your platform and CUDA version: follow the instructions at https://pytorch.org/get-started/locally/ but specify torch==2.1.0 torchaudio==2.1.0 in the install command and remove torchvision.

• Run pip install everyvoice

Quickstart from source

Install conda

First, you'll need to install conda. Miniforge3 is a fully open-source option which is free for all users and works well. You can also use Anaconda3 or Miniconda3 if you have or can get a license.

Clone the repo

git clone https://github.com/EveryVoiceTTS/EveryVoice.git
cd EveryVoice
git submodule update --init

Environment and installation – automated

To run EveryVoice, you need to create a new environment using Conda and Python 3.12, install all our dependencies and EveryVoice itself.

We have automated the procedure required to do all this in the script make-everyvoice-env, which you can run like this:

./make-everyvoice-env --path <env-path-of-your-choice>
conda activate <env-path-of-your-choice>

Add the option --cuda CUDA_VERSION if you need to override the default CUDA version, or --cpu to use Torch compiled for CPU use only.

Environment and installation – manual

If the automated installation process does not work for you, or if you prefer to do the full installation manually, please refer to EveryVoice / Installation.

Documentation

Read the full EveryVoice documentation.

In particular, read the Guides to get familiar with the whole process.

To build and view the documentation locally:

pip install -e '.[docs]'
mkdocs serve

and browse to http://127.0.0.1:8000/.

Contributing

Feel free to dive in! Open an issue or submit PRs.

This repo follows the Contributor Covenant Code of Conduct.

Please make sure our standard Git hooks are activated, by running these commands in your sandbox (if you used our make-everyvoice-env script then this step is already done for you):

pip install -e '.[dev]'
prek install
gitlint install-hook
git submodule foreach 'prek install'
git submodule foreach 'gitlint install-hook'

Have a look at Contributing.md for the full details on the Conventional Commit messages we prefer, our code formatting conventions, our Git hooks, and recommendations on how to make effective pull requests.

Acknowledgements

This repository draws on many other wonderful code bases. Many thanks to:

• https://github.com/nocotan/pytorch-lightning-gans
• https://github.com/rishikksh20/iSTFTNet-pytorch
• https://github.com/jik876/hifi-gan
• https://github.com/ming024/FastSpeech2
• https://github.com/MiniXC/LightningFastSpeech2
• https://github.com/DigitalPhonetics/IMS-Toucan

Tests

There are many ways to run the unit tests, if you installed EveryVoice from source:

• Run all the tests: pytest; add -v to list tests cases, -s to see all logs
• Run all the dev tests: everyvoice/run_tests.py dev or everyvoice test dev
• Run the tests with verbose logs: everyvoice/run_tests.py --verbose dev
• Show the names of the other suites you can run: everyvoice/run_tests.py -h
• Run all the tests in one test file: pytest everyvoice/tests/test_<somefilename>.py
• Run one specific test case: pytest everyvoice/tests/<filename>.py::<class_name>::<function_name>