Audio
speechbrain
A PyTorch-based Speech Toolkit
★ 11.9k starsApache-2.0
View guide →Silero VAD: pre-trained enterprise-grade Voice Activity Detector
silero-vad is an open-source audio project by snakers4 (snakers4/silero-vad on GitHub). It has 10,346 GitHub stars and 859 forks, is released under the MIT license, and was last updated on GitHub on 29 September 2026.
Transcription, synthesis, voice changing, or editing — each tool here majors in one.
Binaries, pip packages, or Docker; models download on first run for AI tools.
Drop in a recording or type what you want spoken.
WAV/MP3/OGG outputs drop straight into editors or apps.
Clone a voice from a short sample for narration and dubbing.
Whisper-grade transcription and natural neural voices, free.
Many run fully on-device — nothing you say leaves the machine.
Open licenses let you ship voice features without per-minute API bills.
CLI and Python APIs slot into larger pipelines.
Dozens of languages supported, not just English.
Download the source and move into the project folder.
git clone https://github.com/snakers4/silero-vad.git
cd silero-vadEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at snakers4/silero-vad with 859 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Most of these run fully offline after the model download.
Check each license — many allow it, but voice-cloning has ethical and legal boundaries.
Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.
A PyTorch-based Speech Toolkit
On-device Speech AI for Apple Silicon
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Silero Models: pre-trained text-to-speech models made embarrassingly simple
A pure C++ ggml inference engine for audio models — TTS, STT, VAD, voice conversion and music.
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if silero-vad is not the right fit.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate 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 — grab the source, star the repo, and start creating.