I'm naming my speech-related repos after Mojave desert flora and fauna.
Added ability to use your own pretrained models. Added ability to download voice conditioning latent via a script, and then use a user-provided conditioning latent. Added ability to produce totally random voices. Wrap the text you want to use to prompt the model but not be spoken in brackets. Added several new voices from the training set. 
Improvements to read.py and do_tts.py (new options). New CLVP-large model for further improved decoding guidance. Add better debugging support existing tools now spit out debug files which can be used to reproduce bad runs. Found that it does not, in fact, make an appreciable difference in the output. 
This repo contains all the code needed to run Tortoise TTS in inference mode. Highly realistic prosody and intonation.Tortoise is a text-to-speech program built with the following priorities:
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