Speaker ID Matters: Avoiding Misattribution in Audio (Full Transcript)
[00:00:00] Speaker 1: Speaker identification is really important, especially you can imagine like in a media scenario like Ryan you say you're gonna do something and it says no actually JK's gonna do that and then you're like okay, I have no idea who said they're gonna do this. So yeah, I guess like it's like an area that we're actually spending quite a lot of time trying to figure out. I think it's, we get away with it quite a lot at the moment because we actually create two audio streams. We actually use this microphone and system audio split that we can like confidently say it's the microphone or confidently say it's the system audio. We need the system audio.
- Misattributing speakers can undermine clarity and trust in transcripts, particularly in media scenarios.
- The team is actively working on improving speaker identification.
- A current mitigation is capturing two separate audio streams (mic vs system audio) to label sources reliably.
- The approach works reasonably well now, but finer-grained identification is still needed.