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PyTorch/SpeechSynthesis/Tacotron2/notebooks/README.md
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A jupyter notobook based on Quick Start Guide of: https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2
## Requirements
Ensure you have the following components:
NVIDIA Docker (https://github.com/NVIDIA/nvidia-docker)
PyTorch 19.06-py3+ NGC container or newer (https://ngc.nvidia.com/catalog/containers/nvidia:pytorch)
NVIDIA Volta (https://www.nvidia.com/en-us/data-center/volta-gpu-architecture/) or Turing (https://www.nvidia.com/en-us/geforce/turing/) based GPU
Before running the Jupyter notebook, please make sure you already git clone the code from the Github:
```bash
git clone https://github.com/NVIDIA/DeepLearningExamples.git
cd DeepLearningExamples/PyTorch/SpeechSynthesis/Tacotron2
```
Copy the Tacotron2.ipynb file into the folder 'Tacotron2'
### Running the quick start guide as a Jupyter notebook
Navigate to the folder containing the scripts for the Tacotron2 example.
Copy the Tacotron2.ipynb file into the folder and run:
To run the notebook on you local machine:
```bash
jupyter notebook Tacotron2.ipynb
```
To run the notebook on another machine remotely:
```bash
jupyter notebook --ip=0.0.0.0 --allow-root
@ -23,4 +47,4 @@ in, for example:
```
http://[host machine]:8888/?token=aae96ae9387cd28151868fee318c3b3581a2d794f3b25c6b
```
```