音量探测和diarization
在您的音频和视频抄录中自动识别并标出不同的喇叭。 确切知道谁说了些什么 。
议长的分化是什么?
议长的二分法是根据发言者的身份将音频流分割成各部分的过程,用更简便的话说,它回答了“谁在什么时候发言?”的问题。 This is essential for multi-speaker recordings like meetings, interviews, podcasts, conference calls, and legal proceedings where knowing who said what is just as important as what was said.
STT.ai uses advanced neural speaker diarization models that can detect and label speakers in real time. The system creates speaker embeddings -- numerical representations of each voice's unique characteristics -- and clusters them to distinguish between different people. This works even when speakers have similar voices or frequently interrupt each other.
音响探测如何工作
1. 语音活动探测
系统首先确定哪个音频部分含有言语与沉默、音乐或背景噪音。
2. 发言人嵌入式
每个演讲部分都转换成发言者嵌入式 -- -- 一种反映发言者独特声学特点的紧凑矢量。
3. 集群和标签
嵌入式分组分组,由同一发言者分组分组,然后为每个分组分配一个标签(发言者1、发言人2等)。
使用发言人侦测案件
在STT.ai上探测议长
Speaker detection is available on all paid plans. When you transcribe audio or video with speaker detection enabled, the transcript will include speaker labels inline with the text. You can also export speaker-labeled transcripts in all supported formats including SRT, VTT, DOCX, JSON, and PDF.
The system can detect up to 20 distinct speakers in a single recording. For best results, ensure each speaker has at least a few seconds of solo speech. Overlapping speech is handled but may reduce accuracy in heavily cross-talked segments.