Audio
silero-vad
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
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10.3k starsMIT
View guide โOn-device streaming speech-to-text engine for real-time apps.
cheetah is an open-source audio project by Picovoice (Picovoice/cheetah on GitHub). It has 670 GitHub stars and 77 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 2 October 2026.
Choose the SDK for your target device.
Integrate the on-device STT library.
Feed live audio and receive transcripts in real time.
Live captions, commands, or dictation go live.
Recognition happens locally โ no audio leaves the device.
Real-time transcripts as speech happens.
Neural models tuned for accuracy and speed.
Integrates across mobile, desktop, and embedded.
Built for responsive, live transcription features.
Commercial-friendly open-source terms.
Download the source and move into the project folder.
git clone https://github.com/Picovoice/cheetah.git
cd cheetahEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command โ Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Picovoice/cheetah with 77 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed โ commercial use allowed with attribution.
No โ it is an on-device engine by design.
Streaming โ it produces transcripts in real time as speech arrives.
Picovoice targets mobile, desktop, and embedded platforms โ check the docs.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Silero Models: pre-trained text-to-speech models made embarrassingly simple
MOSS-TTS family: open text-to-speech models for voice cloning, dialogue, voice design, and real-time agents
GAN vocoder that turns mel-spectrograms into high-fidelity speech audio, fast enough for real-time use.
On-device speech-to-text for macOS.
The most-starred other Audio projects in the LibreAI catalogue โ the realistic shortlist if cheetah is not the right fit.
ๅฉ็จ AI ๅคงๆจกๅๅ่ชๅจๅๅทฅไฝๆต๏ผๆ นๆฎไธป้ขๆๅ ณ้ฎ่ฏไธ้ฎ็ๆ้ซๆธ ็ญ่ง้ขใGenerate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Free and open โ grab the source, star the repo, and start creating.