Pending benchmarksTracking since Oct 29, 2026
Is Audio8-TTS-Realistic-0.6B state of the art?Pending benchmarks.Announced Oct 29, 2026; no independent results yet.
Edge0's open-weights text-to-speech model with zero-shot voice cloning from a short reference clip and its transcript, or speech without a reference. 601M parameters plus a bundled 44.1 kHz codec, 23 languages (12 more than Audio8-TTS-Preview), Apache-2.0 on Hugging Face.
Announced facts
The details so far
- Lab
- Edge0
- Announced
- Oct 29, 2026
- API
- Not yet
- Open weights
- Published · Hugging Face (Edge0/Audio8-TTS-Realistic-0.6b), custom Transformers code (trust_remote_code)
- Parameters
- 601M (601,159,424 in the main model, excluding the audio codec)
- Base model
- Edge0/Audio8-TTS-Preview-0.6b (11 languages)
- Languages
- 23: Arabic, Cantonese, Chinese, Dutch, English, Finnish, French, German, Hindi, Indonesian, Italian, Japanese, Korean, Malay, Norwegian, Polish, Portuguese, Russian, Spanish, Swedish, Thai, Turkish, Vietnamese
- Architecture
- DualAR (inspired by Fish Audio S2 Pro): a 24-layer slow AR predicts one semantic token per frame; a 4-layer fast AR predicts 10 codec codebooks (4,096 entries each); width 896
- Codec
- Bundled 44.1 kHz neural audio codec, about 21.5 frames per second; context up to 2,048 text/audio positions
- Voice cloning
- Zero-shot from a reference recording plus its exact transcript
- License
- Apache-2.0
- Serving
- SGLang Omni adapter with an OpenAI-compatible speech API; free Hugging Face Space playground
- Paper
- arXiv 2610.14776, first posted Oct 10, 2026 (UTC); the weights were announced on Oct 29, 2026
Tags marked unsure are not stated on the lab's own pages.
Next steps
What would let us call it
Verdicts use only independent boards we already track. Two consecutive snapshots are required before any crown.
- Publicly announced with a source
- Usable by the public (API or weights)
- Listed on an independent board we track
- Enough results for a rank in a category
- Holds across two snapshots (crowns only)
Self-reported
What the lab claims
Self-reported. Shown for context; not used in any verdict.
Lab claim: currently #1 on the Hugging Face TTS Arena (the model card says only that it is participating and has received encouraging ratings).
Receipts
Sources
LABSamuel Zeng (Edge0 founder) announcement on Xx.com/SamuelZengML/status/2115881491645554870 · Oct 29, 2026LABEdge0 release links on Xx.com/SamuelZengML/status/2115881504102551856 · Oct 29, 2026REPOEdge0/Audio8-TTS-Realistic-0.6b on Hugging Facehuggingface.co/Edge0/Audio8-TTS-Realistic-0.6bREPOEdge0-AI/Audio8_TTS on GitHubgithub.com/Edge0-AI/Audio8_TTSLABAudio8-TTS-Realistic-0.6B samplesedge0-ai.github.io/Audio8_TTS/realistic-0.6b/PAPERTraining a Compact, Strong, and Realistic Text-to-Speech Model (arXiv 2610.14776)arxiv.org/abs/2610.14776Tracking continues until an independent board lists it.