Unverified60% confidenceFactExact time
End-to-end voice architecture eliminates the traditional three-stage ASR→LLM→TTS pipeline, reducing latency and preserving paralinguistic information such as intonation and emotion.
2
Sources
60%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
GPT Live Full-Duplex Voice AI: Speak and Listen at Once, Reason and Translate
bilibili雪霁霜飞_张小挺7/10/2026
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Unverified级联式语音架构将ASR→LLM→TTS三个独立模块串联，延迟高且每次转换损失语调、情绪等副语言信息82% similarVerifiedTraditional speech-to-speech translation uses a three-module cascaded architecture of ASR → MT → TTS, which suffers from error accumulation and compounded latency.79% similarUnverifiedEnd-to-end architectures directly process audio input and output audio, skipping the intermediate text conversion step, thereby reducing latency and preserving tone, pauses, and emotional information.77% similarUnverifiedA typical voice agent pipeline is: VAD determines whether the user has finished speaking, ASR outputs text, the LLM generates a reply, and TTS synthesizes speech and pushes it back.76% similarUnverifiedThe model uses LLaMA-Omni as its base architecture and adopts an end-to-end speech interaction design, avoiding the multi-stage ASR→LLM→TTS cascade of traditional cascaded approaches.75% similar
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