Check back in a week. Thanks.
Missing stuff;
- Normalize transcripts before running Montreal Forced Aligner
Clone this repo: https://github.com/CookiePPP/cookietts.git
This will make a folder called cookietts where the command is run, and clone the repo into said folder.
Run cd cookietts
This will move you into the cloned repo.
Run pip install -e .
This will 'install' the package (without moving around any files).
Run pip install -r requirements.txt
This will install dependencies.
e.g: pytorch, numpy, scipy, tensorboard, librosa
Install Nvidia/Apex.
Nvidia/Apex contains the LAMB optimizer and faster running fused optimizers.
This also allows for fp16 (mixed-precision) training, which saves VRAM and runs faster on RTX cards.
(please nag me if you cannot install Apex. Pytorch added native fp16 (mixed-precision) support some time ago and I might be able to set that up as an alternative)
That should be the main stuff.
If something fails during preprocessing, check you have ffmpeg and sox installed as well.
If something else fails, you can create an 'issue' on the top of the github page.
Head into the CookieTTS folder and read around.
If you want to train custom multispeaker models then folders 0, 1 and 2 are of interest.
If you want to use an already trained model to generate new speech then folder 5 (_5_infer) is of interest.