Discover the Najimi Osana voice model from Komi Can'T Communicate, powered by the advanced RVC v2 technology. This model has undergone rigorous training with 300 epochs, resulting in high-quality output based on a 40-second dataset voiced by the talented Rie Murakawa. The model boasts impressive specifications including a hop length of 64 and a target sample of 40k. With its large batch size of 7 and extensive 3.9k steps, this model truly showcases the prowess of our cutting-edge AI music creation tools. Try it out now and experience text-to-speech capabilities like never before!

minutes and 40 seconds of dataset Voiced by Rie Murakawa Mangio-Crepe/64 Hop-Length 40k Target Sample Batch Size 7 3.9k Steps

Najimi Osana (Komi Can't Communicate | Japanese)

Najimi Osana (Komi Can't Communicate | Japanese) [RVC v2 | 300 Epochs]

SyberG

🔗 🚆3 minutes and 40 seconds of dataset 🎙️Voiced by Rie Murakawa 🔊Mangio-Crepe/64 Hop-Length 🎯40k Target Sample 💼Batch Size 7 👟 3.9k Steps

they would most definetly sing abseloute territory

jkcrz

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)

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]

100 Epochs > Trained with 30 minutes and 5 seconds of dataset > Pretrained with TITAN > Normalized + Echo and Noise Removed > Voiced by Jeannie Tirado > 8.3k Steps > RVMPE/64 Hop-Length > 40k Target Sample > Batch Size 8

Android 21 (Evil) [DB-FighterZ | 🇺🇸] [TITAN Retrained]

Android 21 (Evil) [DB-FighterZ | 🇺🇸] [TITAN Retrained] (RVC v2 | 100 Epochs)

Mins used. Trained by: Me (Crepe used) case you're going to use it, i will just ask you to give me credits. My Youtube Channel:

Najimi Osana (Komi Can't Communicate | Japanese)

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Najimi Osana (Komi San Wa Komyshou Desu - Latin Dub)

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