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Aiden v1

Single-speaker RVC v2 model trained on Jaiden (17yo male) for the Paion project.

KindOtherVersionRevision 37f51b0Cgrade

Model source

Kind
Other
File size
53.6 MB
Version
vRevision 37f51b0
Updated
Oct 31, 2026
Downloads
9
Source
Hugging Face

Source description

AIDEN — Acoustic Intonation Decoder + Expressive Neural

Single-speaker RVC v2 model trained on Jaiden (17yo male) for the Paion project.

Architecture

  • Base: Applio 3.6.2, RVC v2, HiFi-GAN vocoder, ContentVec embedder
  • Pretrain: TITAN Medium 32k (blaise-tk/TITAN)
  • F0: rmvpe
  • Sample rate: 32kHz mono

Training

  • Dataset: 537 clips, ~45 min total, 15 emotional categories
  • Hardware: RTX PRO 6000 Blackwell (96GB)
  • Hyperparameters: batch 16, 300 epochs, save every 25
  • Wall time: ~30 min
  • Best loss: g_loss 24.6 at epoch 50

Files

  • aiden_300e_19200s.pth — final epoch 300 checkpoint
  • aiden_300e_19200s_best_epoch.pth — best loss checkpoint
  • aiden.index — FAISS retrieval index for ContentVec features
  • config.json — training config
  • model_info.json — dataset metadata

Inference parameters (calibrated)

  • index_rate: 0.4-0.7 (higher = more Jaiden timbre, less source emotion)
  • protect: 0.33
  • volume_envelope (rms_mix_rate): 0.25
  • f0_method: rmvpe

Status

Trained 2026-05-06. Project subsequently pivoted to Kokoro/Chatterbox-only (without voice transfer step) — voice cloning to Jaiden's specific timbre wasn't a hard requirement. AIDEN preserved here as a reference / future option.

Sources

1 source
Hugging FacePrimaryVersion 37f51b0401e80165c5cf8f76cffd74a879e4aad9
huggingface.co/jeffhm14/aiden-v1/tree/37f51b0401e80165c5cf8f76cffd74a879e4aad9

Verified Oct 31

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Model artifacts

2 artifacts

aiden_300e_19200s_best_epoch.pth

pth · 53.6 MB · SHA-256 d9967287e247…271d · Hugging Face

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aiden_300e_19200s.pth

pth · 53.6 MB · SHA-256 379e15a9dc51…5b80 · Hugging Face

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Source excerpts

3 excerpts

--- license: mit tags: - rvc - voice-conversion - aiden - paion language: - en pipeline_tag: audio-to-audio --- # AIDEN — Acoustic Intonation Decoder + Expressive Neural Single-speaker RVC v2 model trained on Jaiden (17yo male) for the Paion project. ## Architecture - Base: Applio 3.6.2, RVC v2, HiFi-GAN vocoder, ContentVec embedder - Pretrain: TITAN Medium 32k (`blaise-tk/TITAN`) - F0: rmvpe - Sample rate: 32kHz mono ## Training - Dataset: 537 clips, ~45 min total, 15 emotional categories - Hardware: RTX PRO 6000 Blackwell (96GB) - Hyperparameters: batch 16, 300 epochs, save every 25 - Wall time: ~30 min - Best loss: g_loss 24.6 at epoch 50 ## Files - `aiden_300e_19200s.pth` — final epoch 300 checkpoint - `aiden_300e_19200s_best_epoch.pth` — best loss checkpoint - `aiden.index` — FAISS retrieval index for ContentVec features - `config.json` — training config - `model_info.json` — dataset metadata ## Inference parameters (calibrated) - index_rate: 0.4-0.7 (higher = more Jaiden timbre, less source emotion) - protect: 0.33 - volume_envelope (rms_mix_rate): 0.25 - f0_method: rmvpe ## Status Trained 2026-05-06. Project subsequently pivoted to Kokoro/Chatterbox-only (without voice transfer step) — voice cloning to Jaiden's specific timbre wasn't a hard requirement. AIDEN preserved here as a reference / future option.

Source context: 9 downloads · 0 likes · Pipeline audio-to-audio · Repo jeffhm14/aiden-v1

Source context: 8 downloads · 0 likes · Pipeline audio-to-audio · Repo jeffhm14/aiden-v1