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TTS
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erogol 2020-05-20 16:44:52 +02:00
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@ -14,11 +14,18 @@ If you are new, you can also find [here](http://www.erogol.com/text-speech-deep-
[Details...](https://github.com/mozilla/TTS/wiki/Mean-Opinion-Score-Results)
## Utilities under this Project
- Deep Learning based Text2Speech model.
- ```dataset_analysis```: Tools to curate a Text2Speech dataset.
- ```speaker_encoder```: Speaker Encoder model computing embedding vectors for voice files.
- ```server```: Basic server implementation with packaging.
## Features
- High performance Text2Speech models on Torch and Tensorflow 2.0.
- High performance Speaker Encoder to compute speaker embeddings efficiently.
- Integration with various Neural Vocoders (PWGAN, MelGAN, WaveRNN)
- Released trained models.
- Efficient training codes for PyTorch. (soon for Tensorflow 2.0)
- Codes to convert Torch models to Tensorflow 2.0.
- Detailed training anlaysis on console and Tensorboard.
- Tools to curate Text2Speech datasets under```dataset_analysis```.
- Demo server for model testing.
- Notebooks for extensive model benchmarking.
- Modular (but not too much) code base enabling easy testing for new ideas.
## Requirements and Installation
Highly recommended to use [miniconda](https://conda.io/miniconda.html) for easier installation.