Unverified50% confidenceFactExact time
Half-duplex systems use a strict serial pipeline of "voice activity detection (VAD) — recognition — generation — synthesis", so user pauses or inserted filler words may be misjudged as finishing speaking.
1
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50%
Confidence
Long-term
Relevance
10/24/2026
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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% 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.79% similarVerifiedTraditional 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.78% similarUnverifiedThe typical pipeline for speaker diarization includes four steps: voice activity detection (VAD), speech segmentation, speaker embedding extraction and clustering.77% similarUnverified早期语音AI系统受限于端点检测（VAD）技术，本质上是半双工架构76% similar
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