Speaker Diarization
3 videos across 2 channels
Speaker diarization is the process of distinguishing who spoke when in an audio or video file. The featured videos show tools that automatically separate speakers, label segments, and provide per-word timestamps, enabling fast, multi-speaker transcripts and dynamic editing. With support for many languages and up to dozens of speakers, these workflows streamline content creation, indexing, and search for editors, journalists, and podcasters.
I Built a Tool That Makes Supercuts in Seconds
The video showcases Wes's Super Cut Studio that automatically extracts and assembles highlights from transcripts, using
00:15:10
How to Transcribe Audio with Scribe v2 — Speech to Text API
The video demonstrates how to use 11 Labs Scribe V2 for speech-to-text transcription, highlighting features like key-ter
00:06:24