Description
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 @Eko(Childish AI Hubber) 's stirling core 400 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 - please don't forget to credit me when you use this model.
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Samples
New
Classic
1. Singing
Male
English
2. Singing
Female
English
3. Singing (Dry)
Female
English
4. Singing (High)
Female
English
5. Singing 2
Male
English
6. Singing (Dry)
Male
English
7. Singing (Dry, High)
Male
English
Pitch
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