Medix-AI/coqui-tts
Medix-AI
/
coqui-tts
mirror of https://github.com/coqui-ai/TTS.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

update readme

This commit is contained in:
erogol 2020-10-27 12:28:03 +01:00
parent ff549cddbd
commit 3aeef5e83c
1 changed files with 4 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
README.md
View File

@ -71,8 +71,8 @@ You can also help us implement more models. Some TTS related work can be found [
## Main Requirements and Installation ## Main Requirements and Installation
Highly recommended to use [miniconda](https://conda.io/miniconda.html) for easier installation. Highly recommended to use [miniconda](https://conda.io/miniconda.html) for easier installation.
* python>=3.6 * python>=3.6
* pytorch>=1.4.1 * pytorch>=1.5.0
* tensorflow>=2.2 * tensorflow>=2.3
* librosa * librosa
* tensorboard * tensorboard
* tensorboardX * tensorboardX
@ -164,7 +164,7 @@ To continue an old training run, use ```--continue_path```.
For multi-GPU training use ```distribute.py```. It enables process based multi-GPU training where each process uses a single GPU. For multi-GPU training use ```distribute.py```. It enables process based multi-GPU training where each process uses a single GPU.
```CUDA_VISIBLE_DEVICES="0,1,4" TTS/bin/distribute.py --config_path TTS/tts/configs/config.json``` ```CUDA_VISIBLE_DEVICES="0,1,4" TTS/bin/distribute.py --script train_tts.py --config_path TTS/tts/configs/config.json```
Each run creates a new output folder and ```config.json``` is copied under this folder. Each run creates a new output folder and ```config.json``` is copied under this folder.
@ -219,3 +219,4 @@ If you like to use TTS to try a new idea and like to share your experiments with
- https://github.com/r9y9/tacotron_pytorch (Initial Tacotron architecture) - https://github.com/r9y9/tacotron_pytorch (Initial Tacotron architecture)
- https://github.com/kan-bayashi/ParallelWaveGAN (vocoder library) - https://github.com/kan-bayashi/ParallelWaveGAN (vocoder library)
- https://github.com/jaywalnut310/glow-tts (Original Glow-TTS implementation) - https://github.com/jaywalnut310/glow-tts (Original Glow-TTS implementation)
- https://github.com/fatchord/WaveRNN/ (WaveRNN implementation)