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-[](https://discourse.mozilla.org/c/tts)
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-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).
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+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/).
@@ -114,9 +116,11 @@ Audio examples: [soundcloud](https://soundcloud.com/user-565970875/pocket-articl
## [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)
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## 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/)