Paddle fluid implementation of Fastspeech, a feed-forward network based on Transformer. The implementation is based on [FastSpeech: Fast, Robust and Controllable Text to Speech](https://arxiv.org/abs/1905.09263).
We implement Fastspeech model in paddle fluid with dynamic graph, which is convenient for flexible network architectures.
## Installation
### Install paddlepaddle
This implementation requires the latest develop version of paddlepaddle. You can either download the compiled package or build paddle from source.
1. Install the compiled package, via pip, conda or docker. See [**Installation Mannuals**](https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/install/index_en.html) for more details.
2. Build paddlepaddle from source. See [**Compile From Source Code**](https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/install/compile/fromsource_en.html) for more details. Note that if you want to enable data parallel training for multiple GPUs, you should set `-DWITH_DISTRIBUTE=ON` with cmake.
### Install parakeet
You can choose to install via pypi or clone the repository and install manually.
1. Install via pypi.
```bash
pip install parakeet
```
2. Install manually.
```bash
git clone <url>
cd Parakeet/
pip install-e.
### Download cmudict for nltk
You also need to download cmudict for nltk, because convert text into phonemes with `cmudict`.
```python
import nltk
nltk.download("punkt")
nltk.download("cmudict")
```
If you have completed all the above installations, but still report an error at runtime：
``` OSError: sndfile library not found ```
You need to install ```libsndfile``` using your distribution’s package manager. e.g. install via:
``` sudo apt-get install libsndfile1 ```
## Dataset
We experiment with the LJSpeech dataset. Download and unzip [LJSpeech](https://keithito.com/LJ-Speech-Dataset/).
Paddle fluid implementation of TransformerTTS, a neural TTS with Transformer. The implementation is based on [Neural Speech Synthesis with Transformer Network](https://arxiv.org/abs/1809.08895).
We implement TransformerTTS model in paddle fluid with dynamic graph, which is convenient for flexible network architectures.
## Installation
### Install paddlepaddle
This implementation requires the latest develop version of paddlepaddle. You can either download the compiled package or build paddle from source.
1. Install the compiled package, via pip, conda or docker. See [**Installation Mannuals**](https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/install/index_en.html) for more details.
2. Build paddlepaddle from source. See [**Compile From Source Code**](https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/install/compile/fromsource_en.html) for more details. Note that if you want to enable data parallel training for multiple GPUs, you should set `-DWITH_DISTRIBUTE=ON` with cmake.
### Install parakeet
You can choose to install via pypi or clone the repository and install manually.
1. Install via pypi.
```bash
pip install parakeet
```
2. Install manually.
```bash
git clone <url>
cd Parakeet/
pip install-e.
### Download cmudict for nltk
You also need to download cmudict for nltk, because convert text into phonemes with `cmudict`.
```python
import nltk
nltk.download("punkt")
nltk.download("cmudict")
```
If you have completed all the above installations, but still report an error at runtime：
``` OSError: sndfile library not found ```
You need to install ```libsndfile``` using your distribution’s package manager. e.g. install via:
``` sudo apt-get install libsndfile1 ```
## Dataset
We experiment with the LJSpeech dataset. Download and unzip [LJSpeech](https://keithito.com/LJ-Speech-Dataset/).
