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Adding support for F5-small models, sharing a Hindi checkpoint trained from scratch and adding NFE steps in inference scripts #534
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Oh hindi is nice how much hour you train model , becuas im train 60H and is not result like your's model and wht setting |
I have trained the small config model with about 80 hrs of data for 2.5 million steps. |
Thanks a lot! |
@rumourscape Hi, Can you share training code for this model? |
I tested the model and it sounds trash |
actually is better compare to 80H of training |
You clearly haven't used it properly then. The ref_audio must be in Hindi and the ref_text & gen_text must be in Devanagari script. I have showed this model to many colleagues and they all believe that this is probably the current SOTA for Hindi TTS. |
I have used the same training script as given in the F5 repo. The only change I made was to skip the preprocess step and directly plug in the Huggingface datasets using the HFDataset class. |
That's a good change to add upstream. Would make it much easier to train on other languages. |
@SWivid @ZhikangNiu Hi, are you looking into this? |
@rumourscape yes, but busy currently, will modified as mentioned in #591 |
It would be great if you add Hindi language support. Thank you in advance. |
In this PR I am contributing three things as given in title.