Unverified50% confidenceFactExact time
端点检测（VAD）本质上是二分类问题，用于区分有效语音帧与静音/噪声帧，现代神经网络VAD如Silero VAD可在嘈杂环境下精准区分停顿与结束
1
Sources
50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
UnverifiedWebRTC 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.81% similarUnverifiedModern neural network VADs such as Silero VAD can distinguish speech from background noise, music, and other audio types at the millisecond level.80% similarUnverified现代神经网络VAD（如Silero VAD）通过训练大量语音数据，比传统基于能量阈值和过零率的VAD更精准区分停顿与结束78% similarUnverifiedFull-duplex voice interaction requires two key underlying capabilities: Echo Cancellation and Voice Activity Detection (VAD).77% 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.77% similar
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