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voiceclonnx-facodec
TigreGotico/voiceclonnx-facodec
voiceclonnx-facodec is a machine learning model from TigreGotico. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
ONNX artifacts for the FACodec (NaturalSpeech 3) voice-conversion engine, part of vconnx.
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jun 12, 2026
- Updated
- Jun 12, 2026
- SHA
- 14d48bc7
Model card
From the Hugging Face model README
TigreGotico/vconnx-facodec
ONNX artifacts for the FACodec (NaturalSpeech 3) voice-conversion engine, part of vconnx.
License
Upstream weights: Apache-2.0 — amphion/naturalspeech3_facodec.
Code: Amphion (open-mmlab/Amphion) — Apache-2.0.
ONNX exports: Apache-2.0 (same upstream license, stated here per vconnx publish-all policy).
Architecture
FACodec (Ju et al., NaturalSpeech 3, ICML 2024) disentangles speech into content, prosody, timbre, and acoustic detail subspaces. Voice conversion is zero-shot: encode source → quantize → swap reference timbre embedding → decode.
| Component | Input → Output | Description |
|---|---|---|
| wav(1,1,N) → enc_feats(1,256,T) | Convolutional encoder (hop=200) | |
| enc_feats(1,256,T) → spk_embs(1,256) | TransformerEncoder timbre extractor | |
| (enc_feats, mel_20(1,20,T)) → vq_ids(6,1,T) | Factorised VQ — prosody(1)+content(2)+residual(3) | |
| (vq_ids, spk_embs) → wav(1,1,N) | vq2emb + AdaIN + conv decoder |
Parity (fp32 torch vs ORT)
| Component | max_abs Δ | mean_abs Δ | Verdict |
|---|---|---|---|
| encoder | 1.62e-05 | 2.36e-06 | PASS |
| timbre | 1.43e-06 | 6.40e-08 | PASS |
| quantize | exact int64 match | — | PASS |
| decoder | 7.50e-09 | 1.46e-09 | PASS |
Model sizes
| File | Size |
|---|---|
| (fp32) | 16.5 MB |
| (INT8) | 4.7 MB |
| (fp32) | 33.0 MB |
| (INT8) | 12.1 MB |
| (fp32) | 33.4 MB |
| (INT8) | 12.5 MB |
| (fp32) | 66.2 MB |
| (INT8) | 36.8 MB |
Intelligibility (WER gate ≤ 25%)
Tested with edge-tts source (en-US-GuyNeural) converted to two reference voices (en-US-AriaNeural, en-GB-SoniaNeural) using Whisper base.en transcription.
| Reference voice | WER | Gate |
|---|---|---|
| en-US-AriaNeural | 0% | ✓ PASS |
| en-GB-SoniaNeural | 0% | ✓ PASS |
References
- License
- apache-2.0
- Created
- Jun 12, 2026
- Updated
- Jun 12, 2026