Silero Models
Pre-trained speech models for STT, TTS, and VAD with simple PyTorch integration.
About
Silero Models bundles production-oriented pretrained speech models for speech-to-text, text-to-speech, and voice activity detection that load in a single line through PyTorch Hub or a pip package. The models are deliberately lightweight and run well on CPU, which makes them practical for servers and edge deployments without GPUs. Language coverage centers on Russian, English, Ukrainian, and other languages of the CIS region, including many minority languages, and the newer TTS generations extend to more than 20 languages with multiple speakers per language, SSML support, and, for Russian, automatic stress placement and homograph resolution. The TTS models are fully end-to-end, so no external vocoder or aligner is needed, and an accompanying manifest file lists all available checkpoints. Licensing varies by model: several base models are MIT licensed while many others carry a non-commercial Creative Commons license, so terms need checking per checkpoint. Typical users are developers who want dependable offline speech components without training anything themselves.
Should you use Silero Models?
Pick it when
Pick Silero Models when you need lightweight STT, TTS, or VAD that loads in one line and runs on CPU, especially for Russian, Ukrainian, and other CIS languages, with no training of your own.
Look elsewhere when
Skip it if you need a clear commercial license, since many checkpoints are non-commercial Creative Commons and terms vary per model, or if your languages are outside its CIS-centered set; Vosk and Whisper cover more.
Alternatives to Silero Models
- Vosk
Apache 2.0 offline models in 20+ languages including Russian, with streaming bindings, avoiding Silero's per-checkpoint license checks.
- Silero VAD
The MIT licensed VAD from the same author, enough on its own if speech detection is all you need from this bundle.
- Whisper
MIT code and weights across about 99 languages, far broader coverage, but heavier than Silero's CPU-first models.
- Sherpa-ONNX STT
Apache 2.0 runtime with STT, TTS, and VAD across mobile and embedded targets, clearer licensing than Silero's mixed terms.
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Details
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Beginner (1/5)
- License
- MIT
- Added
- Apr 3, 2026