Unverified50% confidenceFactExact time
In cascaded voice assistants, the end-of-turn detection decision directly determines the trade-off between response latency and interruption rate, and is a key parameter affecting the naturalness of interaction.
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10/26/2026
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UnverifiedCommon dimensions in voice Agent evaluation include time-to-first-byte (TTFB), speech-to-text accuracy, the Agent's ability to recover state after being interrupted, and the consistency of intent understanding across multi-turn conversations.77% similarUnverifiedVoice Agent evaluation has special requirements for latency, interruption handling, and conversation turn management, making it more difficult than ordinary text Agent evaluation.76% similarUnverifiedActionable dimensions for evaluating voice AI quality include: whether first-response latency is below 500 milliseconds, whether cross-sentence pauses are handled correctly without premature truncation, and whether recognition accuracy remains stable in noisy environments.76% similarUnverifiedTo achieve naturalness, real-time voice AI must simultaneously run acoustic endpoint detection (VAD) and semantic integrity assessment, finding a dynamic balance between polite waiting and timely response; excessive sensitivity causes interruptions, while excessive conservatism produces awkward silence delays.75% similar
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