Unofficial Pytorch implementation of "EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture"(arXiv).
2020/12/23: Mandarin Chinese Samples uploaded. The experiment setting is exactly the same with the LJSpeech example. A complete description of the usage will be soon uploaded.
2020/12/20: Using the HifiGAN finetuned with Tacotron2 GTA mel spectrograms can increase the quality of the generated samples, please see the newly generated-samples
- Implementation of EFTS-CNN + HifiGAN
$ cd tools
$ make
# If you want to use distributed training, please run following
# command to install apex.
$ make apex
Note: If you want to specify Python version, CUDA version or PyTorch version, please run for example:
$ make PYTHON=3.7 CUDA_VERSION=10.1 PYTORCH_VERSION=1.6
Please go to egs/lj folder, and see run.sh for example use.
The code framework is from https://github.com/kan-bayashi/ParallelWaveGAN