Verified80% confidenceFactExact time
The 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.
10
Sources
80%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
OpenAI四线出击：GPT-5.6、Codex、语音AI与办公Agent全面解析
bilibiliVicTALK-AI版7/10/2026
Related Claims
Unverified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85% similarVerifiedThe core advantage of end-to-end speech model architecture lies in significantly reducing interaction latency and preserving the speaker's emotional and prosodic signals83% 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.82% similarUnverifiedAdvanced Voice Mode将语音理解和生成放进同一模型，降低了延迟且声音更自然，但仍主要依赖轮次判断82% similarVerifiedThe new end-to-end voice model is trained directly at the audio level, without first converting speech to text, and can directly capture acoustic features and emotions.81% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/486716API
curl https://kongchang.com/api/v1/knowledge/claims/486716MCP
get_claim(id=486716)