Silero VAD
One voice detector to rule them all
Silero VAD launched on December 19, 2021 with 71 votes, #816 of 2,707 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 4 years on.
What it does
Stellar quality. Highly portable. No strings attached. Supports 8 kHz and 16 kHz. Models < one megabyte in size. Supports 30, 60 and 100 ms chunks. Trained on 100+ languages, generalizes well. One chunk ~ 1ms on a single thread. ONNX up to 2-3x faster.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector - snakers4/silero-vad
Does a similar job
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I built a sub-500ms latency voice agent from scratchMar 2026 · ntik.me · ▲570I built a voice agent from scratch that averages ~400ms end-to-end latency (phone stop → first syllable). That’s with full STT → LLM → TTS in the loop, clean barge-ins, and no precomputed responses. What moved the needle: Voice is a turn-taking problem, not a transcription problem. VAD alone fails; you need semantic end-of-turn detection. The system reduces to one loop: speaking vs listening. The two transitions - cancel instantly on barge-in, respond instantly on end-of-turn - define the experience. STT → LLM → TTS must stream. Sequential pipelines are dead on arrival for natural…
Eleven v4 and Eleven v4 Turbo26d ago · elevenlabs.io · ▲175Elevenlabs' fastest and most emotive voice models yet
Boost Your Voice AI Agents with Open-Source Ten VAD2025 · github.com · ▲8Voice Activity Detection (VAD) is a crucial component for Voice AI, enabling more natural and efficient interactions. TEN VAD is an open-source solution designed to supercharge your Voice AI Agents with lightning-fast, human-like conversations! TEN VAD offers some key advantages: ONNX Support: Deploy on virtually any platform or hardware architecture! This means greater flexibility and easier integration into your existing systems. Superior Detection Accuracy: Experience noticeable improvements in voice detection, leading to fewer errors and more reliable performance. Smaller & Faster: Enjoy…
Microsoft AI (MAI) Voice-12025 · microsoft.ai · ▲120Highly expressive and natural speech generation model

Open-source, native audio turn detection model2025 · github.com · ▲126Our goal with this project is to build a completely open source, state of the art turn detection model that can be used in any voice AI application. I've been experimenting with LLM voice conversations since GPT-4 was first released. (There's a previous front page Show HN about Pipecat, the open source voice AI orchestration framework I work on. [1]) It's been almost two years, and for most of that time, I've been expecting that someone would "solve" turn detection. We all built initial, pretty good 80/20 versions of turn detection on top of VAD (voice activity detection) models. And…
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