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✍ Update README for Installation Section, now we can install by pip and do inference.
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README.md

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## What's new
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- 2020/07/05 **(New!)** Support Convert Tacotron-2, FastSpeech to Tflite. Pls see the [colab](https://colab.research.google.com/drive/1HudLLpT9CQdh2k04c06bHUwLubhGTWxA?usp=sharing). Thank @jaeyoo from TFlite team for his support.
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- 2020/06/20 **(New!)** [FastSpeech2](https://arxiv.org/abs/2006.04558) implementation with Tensorflow is supported.
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- 2020/06/07 **(New!)** [Multi-band MelGAN (MB MelGAN)](https://github.com/dathudeptrai/TensorflowTTS/blob/master/examples/multiband_melgan/) implementation with Tensorflow is supported.
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- 2020/06/07 [Multi-band MelGAN (MB MelGAN)](https://github.com/dathudeptrai/TensorflowTTS/blob/master/examples/multiband_melgan/) implementation with Tensorflow is supported.
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## Features
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- Suitable for deployment.
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- Easy to implement new model based-on abtract class.
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- Mixed precision to speed-up training if posible.
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- TFlite conversion for all supported model.
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## Requirements
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This repository is tested on Ubuntu 18.04 with:
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Different Tensorflow version should be working but not tested yet. This repo will try to work with latest stable tensorflow version.
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## Installation
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### With pip
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```bash
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$ git clone https://github.com/dathudeptrai/TensorflowTTS.git
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$ pip install TensorflowTTS
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```
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### From source
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Examples are included in the repository but are not shipped with the framework. Therefore, in order to run the latest verion of examples, you need install from source following bellow.
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```bash
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$ git clone https://github.com/TensorSpeech/TensorflowTTS.git
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$ cd TensorflowTTS
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$ pip install .
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```

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