DeepLearningExamples/PyTorch/SpeechSynthesis/FastPitch/notebooks

FastPitch: Voice Modification with Transformations of Pitch

This readme details how to run the Jupyter notebook for FastPitch inference using different pitch transformations.

Build and run the FastPitch Docker container

1. Clone the repository:

   git clone https://github.com/NVIDIA/DeepLearningExamples.git
   cd DeepLearningExamples/PyTorch/SpeechSynthesis/FastPitch
   

2. Build the container for the FastPitch model:

   docker build . -t fastpitch:latest
   

3. Launch the container of FastPitch model. By default port 8888 if forwarded.

   bash scripts/docker/interactive.sh
   

   Run Jupyter notebook

Inside the container, navigate to the notebooks/ directory and start the Jupyter notebook server:

cd notebooks
jupyter notebook --ip='*' --port=8888 --allow-root

Then navigate a web browser to the IP address or hostname of the host machine at port 8888:

http://[host machine]:8888

Use the token listed in the output from running the jupyter command to log in, for example:

http://[host machine]:8888/?token=aae96ae9387cd28151868fee318c3b3581a2d794f3b25c6b