Unverified50% confidenceTradeoffExact time
端到端架构使声学层面的情绪、语气、口音信息得以完整保留并参与语义理解，消除跨模块的信息损耗
1
Sources
50%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
UnverifiedEnd-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.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 signals81% similarVerifiedThe 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.77% similarUnverified端侧大模型的落地使音箱可在本地完成更自然的多轮对话、上下文理解和主动推荐，即便断网也能保留基本智能能力75% 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.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/568265API
curl https://kongchang.com/api/v1/knowledge/claims/568265MCP
get_claim(id=568265)