Name: Vegeta [DB-FighterZ | 🇯🇵] [All Transformations Combined] | AI RVC Model
Brand: Weights
Rating: 4.8 (4 reviews)

Introducing the ultimate Vegeta RVC Model, crafted to perfection by Weights for AI Music enthusiasts and fans of the legendary Dragon Ball series. This sophisticated AI Voice Model, with all transformations combined, embodies the iconic voice of Vegeta, meticulously trained using advanced RVC technology. Leveraging 100 epochs and a dataset of 45 minutes and 29 seconds, this model captures the essence of Ry Horikawa's dynamic performance. Pretrained with TITAN for superior quality, our model undergoes rigorous normalization, echo, and noise removal processes, ensuring crystal-clear AI covers and text-to-speech outputs. Achieving 10.6k steps with RVMPE/64 hop-length and a target sample size of 40k, this model is designed for seamless and versatile voice conversion. Whether you're looking to create stunning AI covers or harness the power of AI for text-to-speech applications, our Vegeta RVC Model offers unmatched quality and authenticity. Dive into the world of AI voice synthesis with Weights’ free AI tools, and bring the Prince of Saiyans to life in your creative projects today!

100 Epochs > Trained with 45 minutes and 29 seconds of dataset > Pretrained with TITAN > Normalized + Echo and Noise Removed > Voiced by Ry Horikawa > 10.6k Steps > RVMPE/64 Hop-Length > 40k Target Sample > Batch Size 8

Vegeta [DB-FighterZ | 🇯🇵] [All Transformations Combined]

Vegeta [DB-FighterZ | 🇯🇵] [All Transformations Combined] (RVC v2 | 100 Epochs)

SyberG

250 Epochs > Trained with 8 minutes and 54 seconds of dataset > Pretrained with TITAN > Vocals Isolated + Noise Removed > Voiced by Ai Nonaka > 5.5k Steps > RVMPE/64 Hop-Length > 40k Target Sample > Batch Size 8

Madobe Touko [2019-2020 Graduation Era | Digital DIY]

Madobe Touko [2019-2020 Graduation Era | Digital DIY] (RVC v2 | 250 Epochs)

250 Epochs > Trained with 7 minutes and 15 seconds of dataset > Pretrained with TITAN > Vocals Isolated + Noise Removed > Voiced by Nana Mizuki > 5k Steps > RVMPE/64 Hop-Length > 40k Target Sample > Batch Size 8 > Just found out that she actually graduated in Jan 2020 (a.k.a Win 7's end of support)

Madobe Nanami [2019-2020 Graduation Era | Digital DIY]

Madobe Nanami [2019-2020 Graduation Era | Digital DIY] (RVC v2 | 250 Epochs)

100 Epochs > Trained with 37 minutes and 5 seconds of dataset > Pretrained with TITAN > Normalized + Echo and Noise Removed > Voiced by Masako Nozawa > 9k Steps > RVMPE/64 Hop-Length > 40k Target Sample > Batch Size 8

Son Goku [DB-FighterZ | 🇯🇵] [All Transformations Combined]

Son Goku [DB-FighterZ | 🇯🇵]  [All Transformations Combined] (RVC v2 | 100 Epochs)

500 Epochs > Trained with 42 seconds of dataset > Pretrained with TITAN > Vocals Isolated + Noise Removed > Voiced by Christian Bernard > 2k Steps > RVMPE/64 Hop-Length > 40k Target Sample > Batch Size 8

Glass Joe [Punch-Out!! Wii]

200 Epochs > Trained with 6 minutes and 16 seconds of dataset from Desktop-Me! 2004 app from archive > Pretrained with TITAN > Normalized > Voiced by (unknown) > 3.8k Steps > RVMPE/64 Hop-Length > 40k Target Sample > Batch Size 8 > Never thought I'd be back with the OS-tans lol

2k-tan [Desktop-Me!] [Windows 2000's OS-tan]

2k-tan [Desktop-Me!] [Windows 2000's OS-tan] [RVC v2 | 200 Epochs]

with 9 minutes and 15 seconds of dataset Pretrained with Ov2Super Voiced by Kyle Herbert 3.9k Steps RVMPE/64 Hop-Length 40k Target Sample Batch Size 7

Adult Gohan [DB-FighterZ | 🇺🇸]

with 22 minutes and 48 seconds of dataset Voiced by Christopher Sabat 18.9k Steps RVMPE/64 Hop-Length 40k Target Sample Batch Size 7 Yes, I know Vegeta was already made a few times, nobody made a Ov2Super version of him, so I decided to make one myself based of his voice lines in FighterZ

Vegeta [DB-FighterZ | 🇺🇸]

Vegeta [DB-FighterZ | 🇺🇸] (RVC v2 | Ov2Super | 300 Epochs)

Dataset and training by Voice Actor: Ry Horikawa training with 15 minutes of audio from Dragon Ball Raging Blast 2 game.

Vegeta (ベジータ) (Ryō Horikawa) [Dragon Ball Z]

Vegeta (ベジータ) (Ryō Horikawa) [Dragon Ball Z] (RVC V2) 300 Epochs

Trained by me (Tost) Dataset based entirely off of Dragonball FighterZ Link to model:

Frieza -ENG Voice- (From Dragonball FighterZ)

Frieza -ENG Voice- (From Dragonball FighterZ) (RVC v2) 300 Epochs

300 Epochs. Voice clips from Team Sonic Racing and Sonic Twitter Takeover 5 & 7 used to make up this model. If you can it's recommended that it's used with the AI Cover Gen WebUI for male/female pitch adjustment depending on how high pitched or low pitched a song is.

Sonic The Hedgehog [Roger Craig Smith]

A Mii in a Fedora

with 35 minutes and 9 seconds of dataset of all of his voice lines (all transformations combined) Pretrained with TITAN Echo Removed Voiced by Sean Schemmel 8.8k Steps RVMPE/64 Hop-Length 40k Target Sample Batch Size 8 He sounds more serious compared to the first & old Goku model way back in the OG AI Hub server

Vegeta [DB-FighterZ | 🇯🇵] [All Transformations Combined]

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Adult Gohan [DB-FighterZ | 🇺🇸]

Vegeta [DB-FighterZ | 🇺🇸]

Vegeta (ベジータ) (Ryō Horikawa) [Dragon Ball Z]

Frieza -ENG Voice- (From Dragonball FighterZ)

Sonic The Hedgehog [Roger Craig Smith]

Son Goku [DB-FighterZ | 🇺🇸] [All Transformations Combined]

Saiba Momoi (Blue Archive)

Jungkook (BTS)

Sonic The Hedgehog [Roger Craig Smith]

ENHYPEN Heeseung

CaseOh

Villager (Minecraft)

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

Takanashi Hoshino (from Blue Archive)

Satoru Gojo (JJK) [VA Yuichi Nakamura]

Fang [Brawl Stars]

Mortis [Brawl stars]

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

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

Sas (Counter-strike global offensive)

Edgar [Brawl Stars]

SpongeBob SquarePants (Talking And Singing)

Ariana Grande AI

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

Surge (brawl Stars)

JENNIE of BLACKPINK [Strong Ver.]