Unverified50% confidenceFactExact time
MOSS-Transcribe-Diarize 将转写与说话人分离两大任务合二为一，用单一模型完成，直接输出带有时间戳和说话人标签的结构化文本
1
Sources
50%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
MOSS-Transcribe-Diarize：0.9B端到端多说话人语音转写模型
twitterlmsysorg7/9/2026
Related Claims
UnverifiedOffline file transcription can use bidirectional attention mechanisms to integrate information from both preceding and following context, and can perform multiple rounds of decoding and reranking to improve accuracy.67% similarUnverified豆包语音输入以字符流方式实时输出识别结果（边说边出字），而非等整句话说完才返回结果，并支持通过系统级快捷键全局唤起66% similarUnverifiedWhisper unifies speech recognition, language identification, timestamp prediction, and speech translation into a sequence-to-sequence task, specifying the task type via special control tokens.66% similarUnverifiedLarge language models are replacing many crowdsourcing tasks that previously required humans, such as text classification, sentiment analysis, and content summarization, which can now be completed in seconds by calling GPT-class model APIs.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/486956API
curl https://kongchang.com/api/v1/knowledge/claims/486956MCP
get_claim(id=486956)