KinglittleQ / Gst Tacotron
Licence: mit
A PyTorch implementation of Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
Stars: ✭ 175
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GST-Tacotron-Pytorch
A PyTorch implementation of Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
Update
Add support for blizzard dataset.
Requirements
pip3 install -r requirements.txt
File structure
-
Hyperparameters.py--- hyperparameters -
Network.py--- encoder and decoder -
Modules.py--- some modules for tacotron -
Loss.py--- loss function -
Data.py--- dataset loader -
utils.py--- some util functions for data I/O -
Synthesis.py--- speech generation
How to train
- Download a multispeaker dataset
- Preprocess your data and implement your
get_XX_datafunction inData.py - Set hyperparameters in
Hyperparameters.py - Make a directory named
logas follow:
--- log
| |
| --- log[log_number]
|
--- code
|
--- Tacotron
|
--- train.py
|
--- Network.py
|
......
- Run train.py
python3 train.py [log_number] [dataset_size] [start_epoch]
[log_number]: the log directory number
[dataset_size]: int or all
[start_epoch]: which epoch start to train (0 if start from scratch )
for example:
python3 train.py 0 all 0
How to generate wav
Rungenerate.py. Replace the text in generate.py with any chinese sentences as you like before running
The pretained model provided is trained on Chinese dataset, so it only supports chinese now.
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