Unverified60% confidenceFactExact time
Traditional voice assistants use a request-response pipeline that serially executes ASR, NLU, generation, and TTS, causing latency to compound at each stage.
2
Sources
60%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
VerifiedTraditional voice AI systems adopt a cascaded architecture that splits voice processing into independent modules such as ASR, NLU, dialogue management, and TTS, with information loss and latency accumulation between each module.79% similarUnverifiedTTS must stream tokens into speech one by one and cannot wait until the entire response is generated before converting to speech, in order to reduce latency.77% similarUnverifiedThe core challenges of implementing full-duplex voice AI include running ASR and TTS simultaneously, real-time acoustic echo cancellation (AEC), and controlling end-to-end latency to within 150 milliseconds.76% similarVerifiedEarly voice AI systems used a cascaded three-stage architecture (ASR→LLM→TTS), and customers often had to wait 3–5 seconds before hearing a response.76% similar
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