Expired60% confidenceBenchmarkExact time
State-of-the-art real-time speech transcription latency is approximately 200–400 milliseconds, with mainstream industry solutions including OpenAI's Whisper, Google Speech-to-Text, and AssemblyAI.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/22/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/20/2026(expired)
Sources
Related Claims
UnverifiedBest practices for deploying voice AI include: latency control (within 200 milliseconds), privacy compliance (temporary audio storage, anonymized transcripts), error handling (falling back to text), testing strategy (simulating noise and multiple accents), and accessibility (captions and transcripts).80% similarVerified实时语音对话中的检索增强生成通常要求端到端延迟控制在500毫秒以内以维持自然对话节奏79% similarUnverifiedVoice calls have high real-time requirements, and the latency introduced by cloud API relay needs to be verified in actual use cases.78% similarUnverifiedFor latency-sensitive scenarios such as real-time voice, voice aggregation platforms need to adopt technologies such as edge deployment and zero-copy to minimize the additional latency introduced by the intermediate layer.77% similar
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