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RVC Models: AI Voices - 388 Model Downloads & Examples

Download Free Open Source RVC Models for Voice Conversion with Examples for Music Generation and Speech Replacement.

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21 Savage
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2Pac Tupac
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50 Cent
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6lack
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Aaliyah
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Adele
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Akira Otoishi (JoJo)
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Alyx Vance
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Anderson PAAK
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Ant Clemons
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Anthony Green (Circa Survive)
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Aran (From Fifty Fifty)
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Ariana Grande
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Arijit Singh
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Arlan (Ryoko Shiraishi) (Honkai_ Star Rail)
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Arne Magnusson
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ASAP Rocky
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Avril Lavigne
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Avril Lavigne
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BabySantana
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BabyTron
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Bad Bunny
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Bad Bunny
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Baldi
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Barney (Spanish)
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Barney Calhoun
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Bart Simpson (Spanish)
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Bart Simpson
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Bbno$
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Bebe Rexha
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Beyonce
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Beyonce
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Biggie Smalls
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Bill Wurtz
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Billie Eilish
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Billy Mays
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Bo Burnham (Inside)
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Brandy
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Brent Faiyaz
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Brian Wilson (Modern Era)
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Britney Spears
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Bruno Mars
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Bruno Powroznik
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bryska
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Bryson Tiller
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Bubs (Homestar Runner
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BurnaBoy
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Butt-Head (Beavis & Butt-Head)
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C Blu
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Camila Cabello
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Casey Lee Williams
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Central Cee
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Charlie Browns Teacher (Peanuts) (RVC-2) 300 Epoch
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Charlie Dompler (Smiling Friends)
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Chencho
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Chenle (From NCT)
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Chester Bennington
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Childish Gambino
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Childish Gambino
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Chou Tzuyu
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Chris Brown
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Chris Martin (From Coldplay)
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Chris Travis
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Christina Aguilera
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CMoon (JoJo)
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Coach (Rec Room)
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Coach
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Cortana (Microsoft AI Assistant)
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Craig Tucker (South Park)
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DaBaby
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Dabi
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Daddy Yankee
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Damon Albarn
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Danny Brown
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Dave Mustaine (Megadeth)
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Dawid Kwiatkowski
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Deku (Izuku Midoriya)
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Dem Jointz
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Deuce (From Hollywood Undead)
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Deuce (Hollywood Undead)
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Deuce (Hollywood Undead)
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Digga D
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Dio Brando (From JoJo's Bizzare Adventure)
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Doh Kyung-soo (D.O.)
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Doki (Xandra Uribe) (Discovery Kids)
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DOYOUNG (From NCT)
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Dracula (SotN)
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Dreamybull
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DUDE STOP LET ME GO.
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Duke Nukem
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Duki
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Duki
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Eazy-E
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Ed Sheeran
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EDP445
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Eli Vance
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Ellis McKinney
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Eminem (New Era)
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ENHYPEN Heeseung
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All AI Voices

What are RVC Models?

RVC Models, or Retrieval-based Voice Conversion based on VITS, is an advanced technology that focuses on voice conversion. It uses the VITS (Variational Inference Text-to-Speech) framework to achieve high-quality voice conversion by retrieving and converting voice characteristics from a source voice to a target voice.

How do RVC Models work?

RVC Voice Models work by employing the VITS framework, which leverages variational inference techniques for text-to-speech conversion. It involves retrieving relevant information from the source voice and applying it to the target voice to convert voice characteristics. This technology is used for various applications, including voice mimicry and speech synthesis.

What are the applications of RVC Voice Models?

RVC Voice Models have a wide range of applications, including voice imitation, voice transformation, and text-to-speech synthesis. They can be used for creating voiceovers, enhancing voice quality, and even generating human-like speech from text inputs.

Are RVC Voice Models suitable for voice-related research and development?

Yes, RVC Voice Models are highly suitable for voice-related research and development projects. They provide a valuable tool for exploring voice conversion techniques, enhancing speech synthesis systems, and improving the overall quality of voice-related applications.