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Model ID #26111 · Canonical Slug /model/1s5hJKaTOuQ
RVC v2
· RMVPE
· 160 Epochs
Avu-chan
RVC v2
RMVPE
160 Epochs
Added Mar 19, 2024
https://huggingface.co/Eddycrack864/Avu-chan-AI-Voice/resolve/main/avu-chan.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: Avu-chan [QUEEN BEE] (RVC V2) RMVPE 160 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: 160 Epochs · Source Host: Hugging Face
Auditory Discovery · Close Alternatives
Voices That Sound Like Avu-chan
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 Avu-chan [QUEEN BEE] (RVC V2) RMVPE 160 Epochs
Model created by me <@274566299349155851>
Model trained with 12:16 minutes of dataset, 40k, 160 Epochs, RMVPE and normal pretrain.
Link: https://huggingface.co/Eddycrack864/Avu-chan-AI-Voice/resolve/main/avu-chan.zip?download=true
Credits are appreciated <:KL1Heart:585547199480332318>
You can find the dataset and all the .pth files in my Hugging Face repository!
Provenance & Open Access
Catalog ID: #26111
Weights Host: Hugging Face
Archive Size: 116.9 MB
