Make Using Tortoise TTS Faster with Fine-Tuned Models

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Published on ● Video Link: https://www.youtube.com/watch?v=Fzah3eJabOY



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I've been fine tuning a bunch of Tortoise TTS voices, and found that after a model is trained to a voice, you can lower the sample rate and adjust generation parameters to get equivalent or better sounding output than even the Ultra Fast preset.
Experimental fine tuning in other European languages: https://youtu.be/o7QRbMvFPzs

Timestamps:
Talking about samples: https://youtu.be/Fzah3eJabOY?t=152
Fine-Tuning: https://youtu.be/Fzah3eJabOY?t=333
Generating: https://youtu.be/Fzah3eJabOY?t=523

Tortoise TTS video: https://youtu.be/snz-VzgGgmA
AI Lip Sync video: https://youtu.be/fJOeaAKo09o

DeepFilter: https://github.com/Rikorose/DeepFilterNet
MakeMKV: https://www.makemkv.com/
Ultimate Vocal Remover (demucs and other models for Windows): https://github.com/Anjok07/ultimatevocalremovergui
WaveShop (fast .wav editor for Windows): https://waveshop.sourceforge.net/

Download one of my fine-tuned Tortoise TTS models here:
Base model here: https://huggingface.co/AOLCDROM/Tortoise-TTS-MSFT-VCTK-4V-En
Requires custom tokenizer file, pt-t.json (put in ./models/tokenizers, switch tokenizer in settings menu)




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Tags:
TTS
Tortoise TTS
text to speech
AI
voice cloning