> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mavioapp.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Speaker Identification

> How Mavio identifies and labels who is speaking in your meeting transcripts.

Mavio automatically identifies individual speakers in your recordings and labels each transcript segment with the correct name. This turns a wall of text into a readable conversation with clear attribution.

## How speaker identification works

Mavio uses a two-stage process to identify speakers:

### Stage 1: Speaker diarization

AI models analyze the audio and detect when the speaker changes. Each continuous speech segment is grouped and assigned to a distinct speaker cluster. At this stage, speakers are labeled generically (Speaker 1, Speaker 2, etc.).

### Stage 2: Speaker matching

Mavio matches the anonymous speaker clusters to known identities using multiple signals:

| Signal                   | How it helps                                                                                    |
| ------------------------ | ----------------------------------------------------------------------------------------------- |
| **Meeting participants** | Calendar events include attendee names — Mavio maps speakers to the participant list            |
| **Voice profiles**       | If a speaker has been identified in previous meetings, their voice profile is used for matching |
| **Meeting bot metadata** | The meeting bot receives participant join/leave events with names from the platform             |
| **Manual corrections**   | When you correct a speaker label, Mavio learns that voice for future meetings                   |

<Tip>
  The meeting bot provides the most accurate speaker identification because it receives participant metadata directly from the meeting platform. Calendar sync also improves accuracy by providing attendee names upfront.
</Tip>

## Accuracy expectations

| Scenario                         | Typical accuracy |
| -------------------------------- | ---------------- |
| Meeting bot with calendar sync   | 95-98%           |
| Meeting bot without calendar     | 90-95%           |
| System audio with known speakers | 85-92%           |
| Mobile recording, first time     | 75-85%           |
| Mobile recording, known speakers | 85-92%           |

Accuracy improves over time as Mavio builds voice profiles for your frequent contacts.

## Voice profiles

Mavio builds a voice profile for each speaker it encounters. Voice profiles are acoustic representations — they capture the unique characteristics of a person's voice (pitch, cadence, formant patterns) without storing actual audio.

### How profiles are created

Profiles are created automatically when a speaker is identified for the first time. The more meetings a speaker appears in, the more robust their profile becomes.

### Managing voice profiles

Go to **Settings > AI > Speaker profiles** to view and manage your organization's voice profiles:

* **Merge profiles** — combine duplicate profiles that represent the same person
* **Rename profiles** — correct the name associated with a profile
* **Delete profiles** — remove profiles for people who are no longer relevant

## Correcting speaker labels

If the AI assigns the wrong name to a speaker:

<Steps>
  <Step title="Open the transcript">
    Navigate to the meeting and view the transcript.
  </Step>

  <Step title="Click the speaker name">
    Click the speaker label on any misidentified segment.
  </Step>

  <Step title="Select the correct speaker">
    Choose from the list of meeting participants or type a new name.
  </Step>

  <Step title="Apply to all segments">
    Mavio will ask if you want to relabel all segments from this speaker in the current meeting. Click **Yes, update all** to fix the entire transcript at once.
  </Step>
</Steps>

<Note>
  When you correct a speaker label, Mavio updates the voice profile to improve future identification. Corrections are the single most effective way to improve speaker accuracy over time.
</Note>

## Handling challenging scenarios

<AccordionGroup>
  <Accordion title="Multiple speakers talking at once">
    Overlapping speech (crosstalk) is the hardest scenario for diarization. Mavio handles brief overlaps well but extended crosstalk may result in segments being attributed to the wrong speaker. Encourage participants to take turns for cleaner transcripts.
  </Accordion>

  <Accordion title="Very similar voices">
    Occasionally two speakers have very similar vocal characteristics. Calendar metadata and meeting participant data help resolve ambiguity. If the AI still confuses them, manual corrections will train the system to distinguish them.
  </Accordion>

  <Accordion title="Phone or dial-in participants">
    Phone audio is lower quality (8 kHz narrowband) which reduces diarization accuracy. If possible, have participants join via the computer client for better audio fidelity.
  </Accordion>

  <Accordion title="Large meetings (10+ speakers)">
    Accuracy decreases slightly as the number of speakers increases. For large meetings, using the meeting bot with calendar sync is strongly recommended, as participant metadata helps disambiguate speakers.
  </Accordion>
</AccordionGroup>

## Privacy

Voice profiles are stored securely and encrypted at rest. They are used only for speaker identification within your organization's Mavio workspace. Voice profiles are never shared with other organizations or used for purposes other than speaker labeling. You can delete all voice profiles at any time from **Settings > AI > Speaker profiles**.