i actually trained this in applio using crepe (its mangio-crepe, because applio's crepe has hop length). samples were made using rmvpe, highly recommended to use rmvpe for inference.
this is a retrain of <@813786967280058378> 's stirling core 600 epoch model, at the same time a model that i wanted to do because i like stirling.
trained on a 4-minute and 24-seconds dataset ripped directly of the game using gcfscape (rx de-ess, mouth de-click, resample + eq, noise gate).
pitch extraction: mangio-crepe
hop length: 8
steps: 4.48k
batch size: 6
pretrain: original v2 / 32k
precision: fp16
cv. Will Neal
link - https://huggingface.co/FurnTheFurnace/RVCModels/resolve/main/Stirling-Core-PortalRev_640e_4480s.zip?download=true
please don't forget to credit me when you use this model.
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