Expired50% confidenceFactExact time
Silero VAD is an open-source voice activity detection solution that has gained wide popularity among developers in recent years; its model size is only approximately 2MB and it can achieve millisecond-level real-time detection without relying on a GPU.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedSilero VAD uses a lightweight neural network capable of high-accuracy voice segment detection at an extremely low latency of approximately 30 ms.75% similarUnverifiedWebRTC VAD and Silero VAD are representative deep neural network solutions for modern Voice Activity Detection (VAD), capable of maintaining high detection accuracy in complex background noise environments.72% similarUnverified打断检测能力涉及端点检测（VAD，Voice Activity Detection）算法69% similarVerifiedVoice activity detection (VAD) is responsible for determining whether the user is still speaking; modern systems combine semantic understanding with acoustic features to identify turn-taking moments.67% similarUnverifiedWake word detection typically runs lightweight models of only a few hundred KB to a few MB to continuously monitor audio streams; OpenWakeWord and Porcupine are mature open-source implementation solutions.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/41732API
curl https://kongchang.com/api/v1/knowledge/claims/41732MCP
get_claim(id=41732)