tacotron-tensorflow

A TensorFlow implementation of DeepMind's Tacotron. A deep neural network architectures described in many papers.

Especially for English, Korean.

highly inspired by here

Requirements

• Python 3.x (preferred)
• Tensorflow 1.x
• matplotlib
• librosa
• numpy
• tqdm

Usage

0. Download Dataset

• IJSpeech 1.1

0. Install Pre-Requisites

python -m pip install -r requirements.txt

1. Adjust Configuration

edit config.py

2. Train!

python train.py

DataSet

DataSet	Samples	Size
IJSpeech-1.1	13100	about 30GB is needed

Source Tree

│
├── assets
│    └── images       (readme images)
├── datasets
│    ├── ljspeech.py  (LJSpeech 1.1 DataSet)
│    └── ...
├── model
│    └── log data     (readme images)
├── config.py         (whole configuration)
├── dataloader.py     (data loading stuff)
├── model.py          (lots of TTS models)
├── modules.py        (lots of modules frequently used at model)
├── synthesize.py     (inference)
├── train.py          (model training)
├── utils.py          (useful utils)
└── tfutils.py        (useful TF utils)

Model Architecture

Tacotron 1

Tacotron 2

DeepVoice v2

soon!

DeepVoice v3

Author

HyeongChan Kim / @kozistr