Unverified50% confidenceFactExact time
语音端点检测（VAD）负责判断用户何时停止说话，过于保守的VAD设置可能在用户停顿后等待400-800ms才判定句子结束
1
Sources
50%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
Voice AI Agent Architecture: Pipecat Flows vs Vapi Squad — A Deep Comparison
redditr/aiagents7/12/2026
Related Claims
VerifiedVoice 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.80% similarUnverifiedTraditional voice activity detection (VAD) methods rely on energy thresholds and silence duration to determine whether speech has ended, which is prone to misjudgment in real conversations.80% similarUnverified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73% similarUnverifiedEnabling VAD (Voice Activity Detection) preprocessing to first remove silent segments before feeding audio into the model can significantly reduce hallucination.72% similarUnverifiedEarly voice assistants such as Siri and Alexa used VAD (Voice Activity Detection) to determine whether the user had stopped speaking, a mechanism that is inherently half-duplex.71% similar
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