Silencio-2
Silencio-2 is an English text-to-speech model that generates 24 kHz speech with emotions, sounds, and voice cloning from short reference audio. Its weights and inference package are publicly available, and it supports streaming generation.
What it does
Use it to generate expressive English speech, including cloned voices, for applications that need locally run or streamed audio output.
- Availability
- Weights and inference package are available on Hugging Face
- Pricing model
- Not established
- Deployment
- Runs on CPU; described as on-device
- Privacy
- Not established
- Licence
- Weights: CC-BY-4.0; code in silencio2/core: MIT
Capability
Modality
Access
Deployment
Pricing
Target user
Evidence
6 claims- Generates English speech at 24 kHz from text. [1]
Silencio-2 turns English text into 24 kHz speech in any voice, from a few seconds of reference audio.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - Supports emotion and sound tags in text and voice cloning from a short clean audio clip. [1]
- The model weights and inference package are available on Hugging Face.
- The model runs about 20x faster than real time on four CPU threads of an Apple M4. [1]
It runs about 20x faster than real time on four CPU threads of an Apple M4, and all weights fit in one 112 MB file.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - The model supports streaming speech output. [1]
- The weights are released under CC-BY-4.0 and the code in silencio2/core is MIT. [1]
The weights are released under [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/), the license of Pocket TTS.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
Sources
1
1
Hugging FaceOwner-controlled
https://huggingface.co/BlueRoseLabs/Silencio-2
Retrieved 2026-11-03 01:12 UTC
Verified
Versions
1| Version | Effective | Change | Changed fields | State |
|---|---|---|---|---|
| 1 | 2026-11-03 01:13 UTC | publication | None | Current |
Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.
