Unverified50% confidenceTradeoffExact time
端侧TTS需在用户说完后200-500ms内开始语音反馈才能保持对话流畅感，要求模型以流式方式逐帧生成音频
1
Sources
50%
Confidence
Long-term
Relevance
8/26/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedTraditional TTS systems require recording hours of voice data to train a speaker-specific model.79% similarUnverifiedIn voice dialogue systems, the LLM inference step requires the time to first token (TTFT) to be kept within 200 milliseconds; otherwise, users will noticeably perceive a pause.79% similarUnverifiedModern voice cloning solutions typically use a speaker encoder to map a voice into a high-dimensional embedding vector, which is then injected into the acoustic model during the TTS decoding stage to control the output timbre.77% similarUnverified语音AI系统中的中断处理需要在毫秒级别内完成停止TTS音频流、丢弃未播放内容、重置LLM上下文状态、重新进入STT监听模式等操作76% similarUnverified语音智能体典型系统架构由VAD、STT、意图识别/LLM推理、TTS等环节串联构成，工业界通常将端到端目标设定在首字节音频输出500ms以内74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/806266API
curl https://kongchang.com/api/v1/knowledge/claims/806266MCP
get_claim(id=806266)