Original Repo: https://github.com/coqui-ai/TTS
Follow the documentation by Nvidia: https://docs.nvidia.com/cuda/archive/10.1/
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
sudo apt-get update
sudo apt-get -y install cuda
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda-repo-ubuntu1804-10-1-local-10.1.243-418.87.00_1.0-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1804-10-1-local-10.1.243-418.87.00_1.0-1_amd64.deb
sudo apt-key add /var/cuda-repo-10-1-local-10.1.243-418.87.00/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda
If you are encountering any installation errors related to repo not signed/public key error:
Please remove the outdated key and install the demanded one.
For more details please refer to: https://forums.developer.nvidia.com/t/notice-cuda-linux-repository-key-rotation/212771
pip install -e .[all]
sudo apt-get install espeak-ng
python train_capacitron_t2.py
Use librosa/pudub to resample your dataset to the same sample rate; same as your defined sameple rate in `audio_config` in your `train.py`
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