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Theodore Masters Peterson
RVC v2 ·RMVPE ·260 Epochs

Theodore Masters Peterson

Hello Neighbor: Welcome to Raven Brooks, 260 Epochs, Rmvpe

RVC v2 RMVPE 260 Epochs Peak Quality 4.34 MOS Added Jan 6, 2026 ★ 1 saved
Open Model Weights Vault · Hosted on Hugging Face · 80.9 MB
✓ Verified Direct URL
https://huggingface.co/Homiebear/TheodorePeterson_260e_4160s/resolve/main/TheodorePeterson_260e_4160s.zip?download=true
Download Raw Weights (.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
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 +8 st (4.34 MOS)
MALE reference · Pitch 0 st
NISQA Quality 3.95 / 5.0 · Sounds male
Semitone Shift (`-16` to `+16` st) · Bar height indicates NISQA clarity score
Female Ref
Male Ref
Audible Female Audible Male Amber border = Peak NISQA Quality
Raw model title: Theodore Masters Peterson (Hello Neighbor: Welcome to Raven Brooks, 260 Epochs, Rmvpe)
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.

Age Profile
middle aged adult 86%
elderly 7%
young adult 6%
Music & Vocal Fit
producer tag 97%
a song hook 6%
adlibs 6%
Timbre & Texture
villain 49%
anime 46%
dramatic 6%
Best Use Case
advertisements 51%
gaming 35%
podcasts 6%
Auditory Discovery · Close Alternatives

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Model Documentation & Notes

About Theodore Masters Peterson (Hello Neighbor: Welcome to Raven Brooks, 260 Epochs, Rmvpe)

Download: https://huggingface.co/Homiebear/TheodorePeterson_260e_4160s/resolve/main/TheodorePeterson_260e_4160s.zip?download=true ----------------------------------------- Hes not really meant to hit high-notes. If he does, theres a chance he'll sound robotic. Mess with it and figure it out and you'll see what I mean lol Dataset: 3:39 Sample Rate: 32k Legacy Core V1.5 (Contentvec) Batch size: 4 Made on Kaggle ----------------------------------------- Credit: If you use this model please credit me on youtube: @Th4t-Ai-Guy

Provenance & Open Access
Catalog ID:#33264
Weights Host:Hugging Face
Archive Size:80.9 MB
Rights & Safety: Report / Takedown