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🧠 Leon is your open-source personal assistant.
★ 17.6k starsMIT
View guide →Silero Models: pre-trained text-to-speech models made embarrassingly simple
silero-models is an open-source audio project by snakers4 (snakers4/silero-models on GitHub). It has 6,125 GitHub stars and 373 forks, is released under the Custom license, and was last updated on GitHub on 31 July 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.
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.
Streaming transcription and TTS for live applications.
Tell speakers apart in meetings and interviews automatically.
Download the source and move into the project folder.
git clone https://github.com/snakers4/silero-models.git
cd silero-modelsEvery 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-models with 373 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Custom — check the repo for commercial-use terms.
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.
Dozens; English is strongest, major world languages are solid.
🧠 Leon is your open-source personal assistant.
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
The easiest way to serve AI models, including speech-to-text, on Kubernetes.
Human-level text-to-speech through style diffusion and adversarial training with speech language models.
Instant, ultra-realistic text-to-speech from a simple local app.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if silero-models 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.