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https://git.ecker.tech/ aims to provide a place to share my efforts while maintaining true ownership of my code, as I do not trust GitHub.
XMR: 4B9TQdkAkBFYrbj5ztvTx89e5LpucPeTSPzemCihdDi9EBnx7btn8RDNZTBz2zihWsjMnDkzn5As1LU6gLv3KQy8BLsZ8SG
- Joined on
2022-10-10
I caved and added a way to override the tokenizer JSON under Settings, because I realized it actually does affect Japanese (at least, from seeing it merge the "phonemes"). The overrided…
363d0b09b1
added options to pick tokenizer json and diffusion model (so I don't have to add it in later when I get bored and add in diffusion training)
07b684c4e7
removed redundant training data (they exist within tortoise itself anyways), added utility: view tokenized text
Oh, actually, you could switch out the tokenizer for niche languages. I was doing a glance-over at how tortoise [tokenizes text](https://git.ecker.tech/mrq/tortoise-tts/src/branch/main/tortoise/u…
What settings are you using in "Prepare Dataset" so that you don't have to check and fix each clip manually?
Trim silence, text cull length 4, audio cull length 1 second. Nothing major, just…
Hold up, by "dataset size of ~8k" do you mean train.txt was ~8kb or ~8k clips?
8k lines, one clip per line, 8k clips. I don't have a total audio metric, but providing that metrics is…
Does this also apply to training a voice sample with a heavy accent, or should I leave it at the default as long as it's some form of English?
mmm, if it's strictly accented English, you…
Nothing special, just max the LR sliders. The finer LR schedule will make it bake faster but crank the LR down to a good rate by epoch 9:
- LR: 0.0001
- Mel LR ratio: 1.0
- Text LR ratio:…
Did you happen to train with the default Text LR Ratio?
For new languages, you'll want to increase the text LR ratio to 1, as you're effectively re-teaching the model a new language (or…