Kasane Teto (ιι³γγ) β Studio Master RVC v2 Model (40kHz) π₯
π Code & Training Pipeline: Full dataset preparation and training scripts are available on GitHub at SinsuSquid/KasaneTeto_RVC.
An artisan, booth-clean Retrieval-based Voice Conversion (RVC v2) model for Kasane Teto (ιι³γγ), trained on an enterprise NVIDIA A100-SXM4-40GB GPU using the official 2024 uncompressed anechoic studio UTAU voicebank from kasaneteto.jp.
π Why This Model?
Most existing Kasane Teto RVC models on the internet suffer from:
- Background music (BGM) bleed and phase cancellation from automated vocal rippers (UVR5).
- Artificial room reverb baked directly into the neural vocoder.
- Glitchy pitch tracking (
harvest/pmoctave drops).
This model fixes that entirely:
- Zero Reverb / Zero BGM: Sourced directly from 400 clean anechoic booth recordings (
TETO-OUset240323.zip). - State-of-the-art Pitch Tracking: Extracted via
RMVPE(Robust Model for Vocal Pitch Estimation). - Phonetic Timbre: Clustered via
ContentVecand indexed with a dedicated 129 MB FAISS.indexfile. - Trained on NVIDIA A100 SXM4: 200 epochs, 3,600 gradient updates, lowest Mel-spectral generator loss 36.014.
π¦ Files in this Repository
| File | Size | Description |
|---|---|---|
KasaneTeto.pth |
53 MB | HiFi-GAN 40kHz Generator PyTorch model weights |
KasaneTeto.index |
129 MB | FAISS feature retrieval index |
KasaneTeto.onnx |
106 MB | Standalone ONNX runtime model (Zero-PyTorch CPU/Edge) |
KasaneTeto_RVC_v2.zip |
168 MB | One-click bundle for Applio / RVC WebUI |
output_teto_kimi.wav |
197 KB | Audio sample ("Kimi wa jitsu ni baka da na") |
π How to Use
Option A: Applio / RVC WebUI (1-Click Install)
- Copy the download link of
KasaneTeto_RVC_v2.zip. - In Applio or RVC WebUI, navigate to the Download tab.
- Paste the URL and click Download Model.
Option B: Manual Placement
- Place
KasaneTeto.pthinto yourlogs/orweights/folder. - Place
KasaneTeto.indexinto yourlogs/KasaneTeto/folder.
Recommended Inference Settings
- f0 Method:
rmvpe - Index Rate:
0.75(higher = more distinctive Teto UTAU timbre) - Protect Consonants:
0.33 - Pitch Shift:
0(or+12when converting male vocals to female range)
π Credits & Licensing
- Original Character & Voice Provider: Twindrill (γγ€γ³γγͺγ«) & Oyamano Mayo (ε°ε±±δΉθδΈ).
- Official Twindrill Portal: kasaneteto.jp
- License: Free for non-commercial fan creations with attribution, adhering strictly to the official Twindrill Voice License Guidelines.
- Pipeline & Training: Trained by SinsuSquid on NVIDIA A100 GPUs.
Inference Providers NEW
This model isn't deployed by any Inference Provider. π Ask for provider support