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RVC v2
·413 Epochs
Yeonjun of TXT
RVC v2
413 Epochs
Peak Quality 4.38 MOS
Added Aug 26, 2025
★ 3 saved
https://huggingface.co/natanworkspace/Legacy_Core_Models/resolve/main/yeonjun-cvec-legacycore-32k-413e.zip?download=true
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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 +16 st (4.38 MOS)
Female Ref
Male Ref
Audible Female
Audible Male
Amber border = Peak NISQA Quality
Raw model title: Yeonjun of TXT [Legacy Core, ContentVec, 32K, 413 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.
Auditory Discovery · Close Alternatives
Voices That Sound Like Yeonjun of TXT
Close but not quite the right fit? Audition nearby candidates matched by vocal embedding and timbre.
FEMALE · 0 st
4.74 MOS
HF
FEMALE · +8 st
4.72 MOS
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FEMALE · 0 st
4.46 MOS
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FEMALE · +8 st
4.35 MOS
HF
FEMALE · +8 st
4.06 MOS
HF
FEMALE · 0 st
4.33 MOS
HF
Model Documentation & Notes
About Yeonjun of TXT [Legacy Core, ContentVec, 32K, 413 Epochs]
**Model Info**
- Architecture: RVC
- Vocoder: NSF-HiFiGAN
- Sample Rate: 32kHz
- F0 Extraction: RMVPE
- Embedder: ContentVec
- Pretrain: Legacy Core
- Precision: BFloat16
**Training Details**
- Epochs: 413
- Dataset Length: 13m 21s
- Batch Size: 8
**NOTE:**
i recommend setting the feature ratio to 0.5
**Download**
https://huggingface.co/natanworkspace/Legacy_Core_Models/resolve/main/yeonjun-cvec-legacycore-32k-413e.zip?download=true
Provenance & Open Access
Catalog ID:#32751
Weights Host:Hugging Face
Archive Size:173.3 MB