Introducing our latest RVC v2 model, specifically trained on Gru from Despicable Me. With a search feature ratio of 0.9, this AI voice model delivers exceptional results. The model has been overtrained for 120 epochs using a 10-minute audio dataset from the game played on PS2, resulting in high-quality AI music generation and cover creation. This model uses RMVPE technology, giving it the ability to generate human-like speech while maintaining original sound quality. Try out our free AI tools today to create your own AI covers or text-to-speech.

Model: < Search feature ratio = 0.9 for best results! Sample Rate: 48k Epochs: 120 10 minute dataset from Despicable Me on PS2, Trained with RMVPE Overtrained very quickly for some reason

Gru (Despicable Me)

Gru (Despicable Me) (RVC v2) (120 Epochs)

bro for 120 epochs it sound extremly good

Al Atticus

who will gru be tonight? thats the ques-tion

Jacob Wilson

SamTheBerty2000 (goin' festive)

jaycgarcia0806

Peter Griffin

AJ Capizzi

Eric Cartman (South Park)

Eric Cartman (South Park) (RVC V2) 500 Epoch

Super Mario! (Charles Martinet)

Super Mario! (Charles Martinet) (RVC V2) 390 Epochs

This model was trained using the crepe method with a 20 minute dataset from various songs and voice clips from Phineas and Ferb.

Dr. Heinz Doofenshmirtz

Dr. Heinz Doofenshmirtz (RVC V2) 250 Epochs

This model was trained using the crepe method using 25 minutes worth of video game voice lines from various SpongeBob games. The model should be pretty versatile, however higher registers may not work as well due to the deepness of Patrick's voice. This took around 8 hours or so to train. Well anyway, have fun with the model! CHECK OUT THE DEMOS BELOW!

Patrick Star (SpongeBob)

Patrick Star (SpongeBob) 1K Epochs 65K Steps

ell0er

Dad Gum! Trained using v2 rmvpe 48k his voice lines from the Cars and Cars 2 video games (thanks again sounds-resource!) Recommended to keep transpose from -12 to 12.

Tow Mater - Cars

Tow Mater - Cars (RVC v2) 400 Epochs

joeldabest638

hello here is my Michael Jackson model for RVC this model was specifically trained with his Harsh vocals <

Michael Jackson

Michael Jackson RVC (1000 Epoch)

didn't see any Donald Duck models so decided to take matters into my own hands *(possibly overtrained, not sure.)* 600 Epochs 40k sample rate made with Crepe Link to the model: obligatory Ballin'

Donald Duck

Donald Duck (RVC v2) 600 Epochs

shadowlure

Works best -12 semitones for regular male audio, and -24 for female audio. UPDATED TO 205 EPOCHS

Markiplier

Markiplier (RVC v2) (205 epochs)

hobqueer

Donald John Trump Trained on ~20 mins of speeches **This is a newer version of Compared to the old one, this model is clearer, and (hopefully) has less volume issues, also trained on 48k** RVC - V2 crepe - 64 epochs - ~~300~~ 600 made by - me discord - yt - Would be great if you can give credit if used anywhere, id love to know where it's used! All of my models - This model -

Gru (Despicable Me)

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Peter Griffin

Eric Cartman (South Park)

Super Mario! (Charles Martinet)

Dr. Heinz Doofenshmirtz

Patrick Star (SpongeBob)

Tow Mater - Cars

Michael Jackson

Donald Duck

Markiplier

Donald Trump

Saiba Momoi (Blue Archive)

Jungkook (BTS)

ENHYPEN Heeseung

Sas (Counter-strike global offensive)

Fang [Brawl Stars]

Edgar [Brawl Stars]

Cordelius Brawl Stars

Baldi (Baldi's Basics in Education and Learning)

Mortis [Brawl stars]

Saiba Momoi (Blue Archive) (VA: Tokui Sora)

Sonic The Hedgehog [Roger Craig Smith]

JP Furina / Focalors CV: Inori Minase (Genshin Impact)

Surge (brawl Stars)

Janet (Brawl Stars)

Hu Tao JP (Genshin Impact)

Sunghoon ENHYPEN

Villager (Minecraft)

FIXED HATSUNE MIKU V3 - VOCALOID [SCROLL DOWN FOR LINK]

Ariana Grande AI

Satoru Gojo (JJK) [VA Yuichi Nakamura]

Jay (ENHYPEN)

Tendou Arisu (Blue Archive)

Donald Trump

SpongeBob SquarePants (Talking And Singing)

Melodie - (Brawl Stars) - (English & Korean Voices)

Takanashi Hoshino (from Blue Archive)

CaseOh

JENNIE of BLACKPINK [Strong Ver.]

Sunaokami Shiroko (Blue Archive)

Alastor (Hazbin Hotel/English)