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EDIT: Working on a harvest retrain, since this is a lower quality dataset. Should help quite a bit. For the meantime you can use this or experiment with v1 kanye. The same Kanye RVC model, except I improved the dataset and retrained for v2. Steps I took (after getting the dataset from who made the original) - Consistent frequencies (used Phaser in RX 9 for this) - Equalized & normalized the quiet sections to match the rest of the dataset - Reverb removal on a minute or two of data - Noise gated to remove most background noise in the dataset - Most important of all, retrained using RVC v2 with crepe As a result it's much better, but I'm sure I'll be updating this at some point
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1. Singing
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2. Singing
Female
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3. Singing (Dry)
Female
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4. Singing (High)
Female
English
5. Singing 2
Male
English
6. Singing (Dry)
Male
English
7. Singing (Dry, High)
Male
English
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