#Silero-VAD Series

Notes

• Model background: A deep learning‑based VAD model released by the open‑source community snakers4. A mainstream open‑source VAD solution, designed for 16kHz audio input.
• Features: Applies pre‑processing steps (pre‑emphasis, framing, windowing) to the audio, then learns voice features through a neural network to accurately distinguish speech from non‑speech segments. Adaptively adjusts detection thresholds based on the noise environment, performing particularly well in noisy scenes. Iterative versions continuously improve noise robustness.
• Open source repository: https://github.com/snakers4/silero-vad

#Model List