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Yeonjun of TXT [Legacy Core, Spin, 32k, 291 Epochs]

Created: August 24, 2025
Yeonjun of TXT [Legacy Core, Spin, 32k, 291 Epochs]

**Model Info**
- Architecture: RVC
- Vocoder: NSF-HiFiGAN
- Sample Rate: 32kHz
- F0 Extraction: RMVPE
- Embedder: Spin
- Pretrain: Legacy Core
- Precision: BFloat16

**Training Details**
- Epochs: 291
- Dataset Length: 13m 21s
- Batch Size: 8

**NOTE:**
i recommend setting the feature ratio to 0.5

**Download**
https://huggingface.co/natanworkspace/Spin_Models/resolve/main/yeonjun-legacycore-spin-291e.zip?download=true

Additional Details:

Tags: No tags available

Download Link: https://huggingface.co/natanworkspace/Spin_Models/resolve/main/yeonjun-legacycore-spin-291e.zip?download=true Hosted on Hugging Face

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Voice accords

Main sonic traits

Selected-sample labels, grouped by what they describe.

Age
child
young adult
teenage
Music use
background music
spoken intro
producer tag
Style/timbre
cute
smooth
bright
Use case
education and e-learning
podcasts
conversational
Sample deck

Lean and sweet spot

Pick a pitch, compare the Quality Score, then Run. Hold Ctrl or Cmd to select multiple pitches.

top 3.02 路 avg 1.92
female
13
male
5
female base 路 pitch 0 Quality Score 2.71 路 heard as female
Run
male
female
heard female heard male Quality Score = estimated audio quality, higher is better Ctrl/Cmd-click = select multiple pitches
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