Why Real-Time Speaker Diarization Matters Most (Full Transcript)
[00:00:00] Speaker 1: What are you most excited about in voice? Yeah, I mean for us it's like speaker identification and diarization is probably the most exciting thing for us. I think it's like, as I mentioned, like because we do real-time, the downside of that is that real-time diarization is hard. It's like a hard thing to do and, you know, if we can crack that, if we can get like properly like this was said by this person, it just unlocks so many things that we can do downstream.
- Speaker identification and diarization are seen as high-impact areas in voice AI.
- Real-time diarization is technically challenging compared to offline approaches.
- Accurate real-time attribution of speech to specific speakers would unlock many downstream product features and analytics.