John Oliver - (32 hop length) - Batch 8

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John Oliver - (32 hop length) - Batch 8

TTS / RealtimeArtistRVC v2English
2 years ago
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183

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Description

< Model created by me (AI_Characters). Please @ my Twitter or Instagram accounts when using my model. I would love to know when it is used! If you want to support what I am doing, donations to my Ko-Fi ( would be greatly appreciated! Those will go towards funding the renting of GPUs for further experimentation and model making. Dataset is from his latest episode uploaded to YouTube titled "Biden and the Border" - Dataset was silence-truncated and edited down to 12 mins of pure audio of him Does very well for speech, but does less well for songs. It highly depends on the song in question as the dataset does not include him singing and he has such a deep voice. I recommend keeping search feature ratio at or close to 0 for singing. Inference settings used for these samples, except for 0.5 feature search ratio for the speech sample: Mangio-Crepe, 64 hop length, 3 median filter, 0.2 volume envelope, 0.1 protect Any helpful and honest critique of the model is greatly appreciated!

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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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