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Model ID #23258 · Canonical Slug /model/1pYWP1nfdmi
RVC v2
· RMVPE
· 340 Epochs
Sana Natori
VTuber
RVC v2
RMVPE
340 Epochs
Added Dec 31, 2023
★ 2 saved
https://huggingface.co/listra92/MyRVC/resolve/main/sananatori_e340_s39100.zip?download=true
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
🎵 AI Song Cover / Singing
Auto vocal stem separation + instrumental remix
🎙️ Speech, TTS & Voiceover
Convert uploaded voice clip or microphone audio
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.
18 Reference Previews
Female Ref
-16
-12
-8
-4
0
+4
+8
+12
+16
Male Ref
-16
-12
-8
-4
0
+4
+8
+12
+16
Raw model title: Sana Natori (VTuber) | RVC v2, RMVPE, 340 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.
Technical Profile
Architecture: RVC v2
· Pitch Extractor: RMVPE · Training: 340 Epochs · Source Host: Hugging Face
Auditory Discovery · Close Alternatives
Voices That Sound Like Sana Natori
Close but not quite the right fit? Audition nearby candidates matched by vocal embedding and timbre.
High-clarity female voice
MALE · 0 st
5.13 MOS
HF
High-clarity female voice
FEMALE · 0 st
5.12 MOS
Direct
High-clarity female voice
FEMALE · 0 st
5.11 MOS
HF
High-clarity female voice
FEMALE · 0 st
5.10 MOS
HF
High-clarity female voice
FEMALE · 0 st
5.10 MOS
HF
High-clarity female voice
MALE · 0 st
5.09 MOS
HF
Model Documentation & Notes
About Sana Natori (VTuber) | RVC v2, RMVPE, 340 Epochs
Download: https://huggingface.co/listra92/MyRVC/resolve/main/sananatori_e340_s39100.zip?download=true
Dataset length: 1h 6m (talking and singing)
Description: probably not the best epoch picked since rather difficult to notice difference between few model checkpoints tested. Have tested also on realtime w-okada to be quite fine.
Trained using the latest original RVC with some code tweaks, including removal of minibatch k-means code in the index training function, so the index file for 1h+ dataset won't shrink.
Provenance & Open Access
Catalog ID: #23258
Weights Host: Hugging Face
