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README.md
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@@ -24,9 +24,9 @@ Or perhaps, for those who are seeing not the first time here? Well still - welco
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## About "
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TAS Tomusan's RVC Models
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movies and animation, etc.) at any time and anywhere. And they're always free to use, forever (_[Sora The Troll (YouTuber)](https://www.youtube.com/@sorathetroll) reference_)!
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The very first model was created sometime in July 2023 (somewhat a "prototype"), and supposedly to be released for the first time in my own work, but that didn't happened.
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12. **_Do you believe that during your creation of voice model(s), the term called "perfect" voice model exists?_**
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A:
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> Well, I don't believe there's "perfection" on making voice models, whether be from mine or from others. In fact, _they'll never be perfect_ in any sense (and no matter how many times you worked so hard on this particular feature),
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> due to how the AI sounds worked out realistically whereas there'll be quite minor vocal glitches when trying to "inference" from one or many audio sources (by possible random chances).
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> That's even when you use rmvpe feature extraction algorithm - there'll be petty
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> Although to be honest, they're quite to totally close to perfect quality, but not too perfect at all.
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<br>
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Last updated: **December
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## About "RVC Models Collection Series"
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TAS Tomusan's RVC Models Collection Series offers you with the (nearly) best quality voice models to work with your projects (e.g. video games [either start from scratch or using mods],
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movies and animation, etc.) at any time and anywhere. And they're always free to use, forever (_[Sora The Troll (YouTuber)](https://www.youtube.com/@sorathetroll) reference_)!
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The very first model was created sometime in July 2023 (somewhat a "prototype"), and supposedly to be released for the first time in my own work, but that didn't happened.
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12. **_Do you believe that during your creation of voice model(s), the term called "perfect" voice model exists?_**
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A:
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> Well, I don't believe there's (or no such thing as) "perfection" on making voice models, whether be from mine or from others. In fact, _they'll never be perfect_ in any sense (and no matter how many times you worked so hard on this particular feature),
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> due to how the AI sounds worked out realistically whereas there'll be quite minor vocal glitches when trying to "inference" from one or many audio sources (by possible random chances).
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> That's even when you use rmvpe feature extraction algorithm - there'll be petty artifacts and whatever during your own hearing tests.
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>
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> Although to be honest, they're quite to totally close to perfect quality, but not too perfect at all.
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<br>
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<br>
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<br>
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Last updated: **December 16, 2023 (2:51 PM- Dubai/Oman time)**
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