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Merge branch 'dev' of https://github.com/mozilla/TTS into dev

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erogol 2020-07-17 11:09:47 +02:00
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<p align="center"><img src="https://user-images.githubusercontent.com/1402048/52643646-c2102980-2edd-11e9-8c37-b72f3c89a640.png" data-canonical-src="![TTS banner](https://user-images.githubusercontent.com/1402048/52643646-c2102980-2edd-11e9-8c37-b72f3c89a640.png =250x250)
" width="320" height="95" /></p>
<center>
<img src="https://travis-ci.org/mozilla/TTS.svg?branch=dev"/>
[![Discourse](https://img.shields.io/badge/discourse-online-green.svg)](https://discourse.mozilla.org/c/tts)
</center>
<p align='center'>
<img src="https://travis-ci.org/mozilla/TTS.svg?branch=dev"/>
<a href='https://discourse.mozilla.org/c/tts'><img src="https://img.shields.io/badge/discourse-online-green.svg"/></a>
</p>
This project is a part of [Mozilla Common Voice](https://voice.mozilla.org/en). TTS aims a deep learning based Text2Speech engine, low in cost and high in quality.
This project is a part of [Mozilla Common Voice](https://voice.mozilla.org/en).
Mozilla TTS aims a deep learning based Text2Speech engine, low in cost and high in quality.
You can check some of synthesized voice samples from [here](https://erogol.github.io/ddc-samples/).
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## [Mozilla TTS Tutorials and Notebooks](https://github.com/mozilla/TTS/wiki/TTS-Notebooks-and-Tutorials)
## Datasets and Data-Loading
TTS provides a generic dataloader easy to use for new datasets. You need to write an preprocessor function to integrate your own dataset.Check ```datasets/preprocess.py``` to see some examples. After the function, you need to set ```dataset``` field in ```config.json```. Do not forget other data related fields too.
TTS provides a generic dataloader easy to use for your custom dataset.
You just need to write a simple function to format the dataset. Check ```datasets/preprocess.py``` to see some examples.
After that, you need to set ```dataset``` fields in ```config.json```.
Some of the open-sourced datasets that we successfully applied TTS, are linked below.
Some of the public datasets that we successfully applied TTS:
- [LJ Speech](https://keithito.com/LJ-Speech-Dataset/)
- [Nancy](http://www.cstr.ed.ac.uk/projects/blizzard/2011/lessac_blizzard2011/)
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You can also enjoy Tensorboard, if you point Tensorboard argument```--logdir``` to the experiment folder.
## [Testing and Examples](https://github.com/mozilla/TTS/wiki/Examples-using-TTS)
## Contribution guidelines
This repository is governed by Mozilla's code of conduct and etiquette guidelines. For more details, please read the [Mozilla Community Participation Guidelines.](https://www.mozilla.org/about/governance/policies/participation/)