Aiden v1
Single-speaker RVC v2 model trained on Jaiden (17yo male) for the Paion project.
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 checkpointaiden_300e_19200s_best_epoch.pth— best loss checkpointaiden.index— FAISS retrieval index for ContentVec featuresconfig.json— training configmodel_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
Sources
1 sourceVerified Oct 31
Download files
Model artifacts
2 artifacts
Model artifacts
2 artifactsaiden_300e_19200s_best_epoch.pth
pth · 53.6 MB · SHA-256 d9967287e247…271d · Hugging Face
Download fileSource excerpts
3 excerpts
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
