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p323
RVC v2 ·RMVPE ·40 Epochs

p323

RVC v2 RMVPE 40 Epochs Peak Quality 4.82 MOS Added Sep 20, 2025
Open Model Weights Vault · Hosted on Hugging Face
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Download Raw Weights (.zip) ↗
Convert Audio with This Voice in EasyAIVoice
Carries this exact model URL and your selected pitch (0 st) into the cloud studio.
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: FEMALE -4 st (4.82 MOS)
FEMALE reference · Pitch 0 st
NISQA Quality 4.70 / 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: p323 (40 epochs, rmvpe, vctk)
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
teenage 34%
middle aged adult 24%
young adult 18%
Music & Vocal Fit
producer tag 37%
a song hook 21%
speaking 10%
Timbre & Texture
bright 28%
cute 13%
dramatic 11%
Best Use Case
gaming 25%
social 23%
podcasts 18%
Auditory Discovery · Close Alternatives

Voices That Sound Like p323

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

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FEMALE · +8 st 4.80 MOS Direct
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FEMALE · 0 st 5.09 MOS HF
Morgan Webb Herself · Xplays
Similar vocal texture
FEMALE · 0 st 4.21 MOS Drive
Hakos Baelz V-Tuber · Hololive EN
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FEMALE · 0 st 4.79 MOS HF
cACMOI A GIRL VOICE
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FEMALE · +8 st 4.51 MOS Drive
Mrs. Forrest That Christmas
Nearby voice
FEMALE · 0 st 4.79 MOS HF
Model Documentation & Notes

About p323 (40 epochs, rmvpe, vctk)

dl link: https://huggingface.co/lyery/models-vc/resolve/main/p323.zip?download=true female speaker found in the vctk dataset, she is the speaker 88 of the original pretrain this voice and the whole vctk dataset is free to use (Creative Commons Attribution License) but you must credit CSTR, University of Edinburg works best for speech (audiobooks) but also has singing capabilities trained on 20 minutes of data and a batch size of 8

Provenance & Open Access
Catalog ID:#32795
Weights Host:Hugging Face
Rights & Safety: Report / Takedown