Description

Introducing our latest advanced AI voice model, "Pit (Minami Takayama, Kid Icarus)" 300 Epochs, powered by Retrieval-Based Voice Conversion (RVC) technology. This innovative model captures the essence of Minami Takayama's iconic portrayal of Pit from Kid Icarus, delivering stunningly realistic text-to-speech outputs and AI music covers that transcend traditional synthesized audio. With meticulous training over 300 epochs, we have fine-tuned this RVC Model to provide unparalleled accuracy, clarity, and expressiveness. Our cutting-edge AI Voice Model allows you to generate mesmerizing AI covers of your favorite songs, staying true to Pit's distinctive vocal characteristics while preserving the original melody and emotion. Ideal for content creators, musicians, and hobbyists alike, this sophisticated tool brings new possibilities for creative expression and engaging storytelling. Furthermore, it offers high-quality text-to-speech conversion for narration, presentations, and more – perfect for enhancing podcasts, audiobooks, and animations.

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Weekly Metrics

Views

1

Creations

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Downloads

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Audio Samples

🌎 All

#1

Male

Speaking

🇺🇸 English

#2

Male

Singing

🇺🇸 English

#3

Male

Singing

🇺🇸 English

#4

Male

Singing

🇺🇸 English

#5

Male

Singing

🇺🇸 English

#6

Male

Singing

🇺🇸 English

#7

Male

Rapping

🇺🇸 English

#8

Female

Speaking

🇺🇸 English

#9

Female

Speaking

🇺🇸 English

#10

Female

Speaking

🇺🇸 English

#11

Female

Speaking

🇺🇸 English

#12

Male

Speaking

🇪🇸 Spanish

#13

Male

Speaking

🇫🇷 French

#14

Male

Speaking

🇮🇹 Italian

#15

Male

Speaking

🇰🇷 Korean

#16

Male

Speaking

🇷🇺 Russian

#17

Female

Speaking

🇪🇸 Spanish

#18

Female

Speaking

🇫🇷 French

#19

Female

Speaking

🇮🇹 Italian

#20

Female

Speaking

🇰🇷 Korean

#21

Female

Speaking

🇷🇺 Russian

Model Files

Compressed File Verified

Pit (Minami Takayama, Kid Icarus).zip

md5: 472e4d982b738bbd501c840af84ce436

57.66 MB

Individual Files Verified

model.index

md5: e83c89a1b43c489efa0eabbac2f23678

11.45 MB

model.pth

md5: 9b31d7f3da42c111717eba922cf1a0f4

54.92 MB

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