Mavio does speaker diarization, not speaker diarization. It works out
when the speaker changes; it does not work out who a speaker is. Names
come from you. Mavio does not create voiceprints, does not store voice
biometrics, and never matches a voice against a previous meeting.
How it works
Diarization
The transcription model analyses the audio and detects when the speaker changes. Each continuous run of speech is grouped and assigned to a distinct cluster, labelled generically — Speaker 1, Speaker 2, and so on. That is the whole automatic stage. Clusters are per-recording: “Speaker 2” in one meeting has no relationship to “Speaker 2” in another.Labelling
You put the names on, and a label applies to the meeting you make it in.1
Open the transcript
Navigate to the meeting and view the transcript.
2
Click the speaker name
Click the speaker label on any segment.
3
Pick or type
If the meeting came from a calendar event, the people who were invited
appear as one-click choices. Otherwise type their email address — Mavio
derives the display name from it.
What affects diarization quality
If a cluster is wrong, fixing it is a relabel — the same click as naming it in the first place.
Privacy
There is no voice data to protect, because none is derived or kept:- No voiceprints. Mavio does not build an acoustic signature of anyone’s voice.
- No cross-meeting voice matching. Nothing from one recording is used to recognise a speaker in another.
- Nothing to consent to. Because no biometric identifier is created, participants who are not Mavio users have nothing stored about their voice.