| --- |
| 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. |
| |
