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Model ID #28853 · Canonical Slug /model/1v9GpFtbiyH
RVC v2
· RMVPE
· 550 Epochs
Teya Dora
Serbian Eurovision Singer
RVC v2
RMVPE
550 Epochs
Added Jul 11, 2024
https://huggingface.co/CrimsonZockt/RVC-Model/resolve/main/Teyadora.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
🎵 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
play
-12
play
-8
play
-4
play
0
play
+4
play
+8
play
+12
play
+16
play
Male Ref
-16
play
-12
play
-8
play
-4
play
0
play
+4
play
+8
play
+12
play
+16
play
Audible Female
Audible Male
Raw model title: Teya Dora (Serbian Eurovision Singer) (RVC V2) (RMVPE) (TITAN PRETRAIN) (550 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: 550 Epochs · Source Host: Hugging Face
Auditory Discovery · Close Alternatives
Voices That Sound Like Teya Dora
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 Teya Dora (Serbian Eurovision Singer) (RVC V2) (RMVPE) (TITAN PRETRAIN) (550 Epochs)
I was think about the tensorboard, i set the smoothing to 0.987 then the graph increasing for loss/g/total for overtraining and i use the UVR-Denoise for the first time.
Sample Rate: 40k
Dataset: 15 Minutes (All Songs)
Batch Size 4
Credit to me Youtube & Tiktok
Index Ratio 1.0 Recommended
If you wanted to take down for low quality, I'll remade dataset or maybe i will move on to the next one.
https://huggingface.co/CrimsonZockt/RVC-Model/resolve/main/Teyadora.zip
Provenance & Open Access
Catalog ID: #28853
Weights Host: Hugging Face
Archive Size: 138.8 MB