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Eren Golge
2019-07-11 15:36:25 +02:00
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@@ -85,6 +85,7 @@ Some of the open-sourced datasets that we successfully applied TTS, are linked b
- [Nancy](http://www.cstr.ed.ac.uk/projects/blizzard/2011/lessac_blizzard2011/)
- [TWEB](https://www.kaggle.com/bryanpark/the-world-english-bible-speech-dataset)
- [M-AI-Labs](http://www.caito.de/2019/01/the-m-ailabs-speech-dataset/)
- [LibriTTS](https://openslr.org/60/)
## Training and Fine-tuning LJ-Speech
Here you can find a [CoLab](https://gist.github.com/erogol/97516ad65b44dbddb8cd694953187c5b) notebook for a hands-on example, training LJSpeech. Or you can manually follow the guideline below.
@@ -162,6 +163,6 @@ Please feel free to offer new changes and pull things off. We are happy to discu
- [Parallel WaveNet](https://arxiv.org/abs/1711.10433)
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### Precursor implementations
- https://github.com/keithito/tacotron (Dataset and Test processing)
- https://github.com/r9y9/tacotron_pytorch (Initial Tacotron architecture)
### References
- https://github.com/keithito/tacotron (Dataset pre-processing)
- https://github.com/r9y9/tacotron_pytorch (Initial Tacotron architecture)