Unverified50% confidenceSolutionExact time
端到端大模型由统一的多模态模型直接完成从语音输入到语音输出的全过程，规避流水线架构的信息损耗与累积延迟
1
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50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
VerifiedThe new generation of voice interaction has shifted to an end-to-end multimodal model architecture that understands and generates directly at the speech signal level, compressing latency and preserving paralinguistic information.85% similarUnverified端到端大模型通过统一神经网络直接处理音频到音频的映射，规避流水线架构的误差传播和延迟问题83% similarUnverifiedEnd-to-end voice processing architectures process audio tokens directly within a unified model, with theoretical latency compressible to within 200ms.81% similarVerifiedThe core advantage of end-to-end speech model architecture lies in significantly reducing interaction latency and preserving the speaker's emotional and prosodic signals78% similarVerifiedEnd-to-end voice models take audio directly as input and output, performing understanding and generation at the audio token level while preserving acoustic features such as intonation, speaking rate, sighs, and laughter.78% similar
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