Wilbur Soot (1H57M Dataset)

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Wilbur Soot (1H57M Dataset)

ArtistRVC v2E-CelebEnglish
kingximo user image
kingximo
2 years ago
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1.1k

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Description

Meet Wilbur Soot (RVC V2), the latest and greatest AI voice model that can generate authentic AI music covers and text-to-speech like never before! This updated version is based on a massive 1H57M dataset, fine-tuned over 370 epochs and 86K steps for unparalleled accuracy. Whether you want to create your own AI cover songs or hear Wilbur Soot read your favorite texts, this powerful tool has got you covered.

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kingximo user image
kingximo
2 years ago

Wilbur Soot V2 (1 Hour 57 minute dataset of isolated vocals) (370 Epochs) (Magnio-Crepe 64 HL)

kingximo user image
kingximo
2 years ago

Wilbur Soot V2 (1H57M Dataset of Isolated Vocals) (370 Epochs)

kingximo user image
kingximo
2 years ago

Wilbur Soot V2 (1H57M Dataset of Wilbur Vocals) (370 Epochs)

kingximo user image
kingximo
2 years ago

Wilbur Soot V2 (1H57M Dataset of Vocals) (370 Epochs)

kingximo user image
kingximo
2 years ago

Trained on isolated vocals from wilburs songs

kingximo user image
kingximo
2 years ago

magnio-crepe 64 hop length

kingximo user image
kingximo
2 years ago

made mostly by <@435750383491481602> i just helped with some of the dataset

kingximo user image
kingximo
2 years ago

Wilbur Soot V2 (1H57M Dataset) (370 Epochs) (86K Steps)

kingximo user image
kingximo
2 years ago

Wilbur Soot (UPDATED) (1H57M Dataset) (370 Epochs) (86K Steps)

kingximo user image
kingximo
2 years ago

Wilbur Soot (UPDATED) (RVC V2) (1H57M Dataset) 370 Epochs 86K Steps

kingximo user image
kingximo
2 years ago

Wilbur Soot (UPDATED) (RVC V2) (1H57M Dataset) 370 Epochs, 86K Steps

sqcnap user image
sqcnap
1 year ago

Thank you for creating an accurate AI model of wilbur <3 you're literally a godsend ♡︎

Me When user image
Me When
1 year ago

All I used this for is toxic gossip train so...

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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

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