Silero-VAD

Lightweight, high‑accuracy voice activity detection model for real‑time speech/silence classification.

Silero VAD is a compact, production‑ready Voice Activity Detection model trained on a large multilingual corpus. It processes 32 ms audio chunks at 16 kHz and outputs a speech probability per chunk, enabling real‑time detection of speech segments in streaming or file‑based audio. The model uses an LSTM‑based architecture and is well‑suited for edge deployment on Qualcomm Snapdragon devices.