Shepard - (32 hop length) - Batch 9

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Shepard - (32 hop length) - Batch 9

TTS / RealtimeFictionalRVC v2English
2 years ago
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94

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2

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10

Description

< 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 a 4h YouTube video of just his ingame voicelines, cut down to around 15 minutes of audio. With editing and silence-truncating it is down to 12 minutes of pure audio of him. Does very well for speech, and worse for songs. He doesn't sing and his voice is very deep. 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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