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Yurizono Seia
RVC v2 ·350 Epochs

Yurizono Seia

Blue Archive

RVC v2 350 Epochs Peak Quality 4.40 MOS Added Jul 9, 2025 ★ 10 saved
Open Model Weights Vault · Hosted on Hugging Face · 118.6 MB
✓ Verified Direct URL
https://huggingface.co/sxndypz/rvc-v2-models/resolve/main/seia.zip
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Zero GPU Setup
Audio Decision Loop · Sample Deck

Audition Across 18 Pitch References

Click any semitone cell below to hear how this voice performs on female and male reference vocals and lock your preferred pitch.

★ Sweet Spot: MALE +12 st (4.40 MOS)
FEMALE reference · Pitch 0 st
NISQA Quality 2.71 / 5.0 · Sounds female
Semitone Shift (`-16` to `+16` st) · Bar height indicates NISQA clarity score
Female Ref
Male Ref
Audible Female Audible Male Amber border = Peak NISQA Quality
Raw model title: Yurizono Seia (Blue Archive) (RVC v2) - 350 Epochs
CLAP Semantic Analysis · Voice Accords

Sonic Profile at Selected Pitch

Acoustic traits measured directly from the generated output sample. Switch pitches in the Sample Deck to see how timbre shifts.

Age Profile
young adult 51%
teenage 46%
child 6%
Music & Vocal Fit
music 60%
a song hook 25%
rap 8%
Timbre & Texture
anime 23%
smooth 19%
energetic 18%
Best Use Case
social 53%
podcasts 22%
education and e-learning 14%
Auditory Discovery · Close Alternatives

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Close but not quite the right fit? Audition nearby candidates matched by vocal embedding and timbre.

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Very close match
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Very close match
FEMALE · 0 st 4.22 MOS HF
Sparkle Honkai: Star Rail, Japanese - CV: Reina Ueda
Similar vocal texture
FEMALE · 0 st 4.65 MOS HF
Sorasaki Hina from Blue Archive
Similar vocal texture
FEMALE · 0 st 4.71 MOS HF
Ganyu Genshin Impact · Japanese
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FEMALE · 0 st 4.50 MOS HF
Kaguya Houraisan Touhou Cannonball
Similar vocal texture
FEMALE · +4 st 3.49 MOS HF
Model Documentation & Notes

About Yurizono Seia (Blue Archive) (RVC v2) - 350 Epochs

initially i was going for 475e but then it sounded awful and the 350e version sounded a bit more stable so i went with that. it's also a test to see how the model trained on klm pretrain would handle lossy audio as dataset this character's featured in blue archive. trained on 11 minutes of audio data from both jp and global versions since both of them have different lines. (eq + spectral de-noise) CV. Tanezaki Atsumi pitch extraction: mangio-crepe / (applio) crepe - 64 hops steps: 14k batch size: 7 pretrain: klm 4 hfg / 40k hf link: https://huggingface.co/sxndypz/rvc-v2-models/resolve/main/seia.zip

Provenance & Open Access
Catalog ID:#32541
Weights Host:Hugging Face
Archive Size:118.6 MB
Rights & Safety: Report / Takedown