EveryVoice TTS Toolkit 💬

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

It is largely based off the FastSpeech2/Fastpitch models.

Quickstart

Install

Clone clone the repo and pip install it locally:

$ git clone https://github.com/roedoejet/EveryVoice.git
$ cd EveryVoice
$ git submodule update --init
$ pip install -e .

Dependencies

I recommend using Conda and Python 3.9. To do that, create a new environment:

conda create --name EveryVoice python=3.9
conda activate EveryVoice
conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch

You can then install the rest of the Python dependencies with pip

pip3 install -r requirements.txt

Alternatively, you can just create the whole thing from our environment.yml file:

conda env create -f environment.yml
conda activate EveryVoice

Contributing

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

This repo follows the Contributor Covenant Code of Conduct.

You can install our standard Git hooks by running these commands in your sandbox:

pip install -r requirements.dev.txt
pre-commit install
gitlint install-hook

Have a look at Contributing.md for the full details on the Conventional Commit messages we prefer, our code formatting conventions, and our Git hooks.

You can then interactively install the package by running the following command from the project root:

pip install -e .

Acknowledgements

This repo 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

Run unit tests by python3 -m unittest tests/test_configs.py or suites of tests by running everyvoice test dev if you have the package installed interactively.