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Plaud Note Pro on a conference table during a meeting with several participants

How to Take AI Notes in Multi-Speaker Meetings

Step-by-step guide to capturing clear multi-speaker audio and generating attributed AI meeting notes without an internet connection during the session.

AI meeting notes · How-to guide

How to take AI notes in meetings with multiple speakers

AI meeting notes for a video call are straightforward — a bot joins and transcribes. For an in-person meeting with four people around a table, there is no bot. A phone in the center captures all four voices, but the audio quality drops with distance, the voices are mixed together, and the transcript assigns no speaker labels. A recorder designed for multi-speaker in-person meetings handles all three problems at once.

Plaud Note Pro on a conference table during a meeting with several participants5 m pickup range

Quick answer

4 steps to AI notes with speaker attribution in any meeting

Multi-speaker AI notes require three things working together: clean audio from all speakers, speaker separation, and structured output. The steps below cover the setup for in-person meetings where an online bot is not an option.

1. Place a multi-mic recorder at or near the center of the table before the meeting starts

A recorder with a wide pickup range positioned centrally captures all speakers at a consistent distance. A phone at one end of the table captures the nearest speakers clearly and the far end at lower quality.

2. Start recording before the first speaker

The speaker separation model uses early speech to establish voice profiles. Starting recording after the meeting is already in progress reduces diarization accuracy for the speakers who spoke before the recording began.

3. Let the AI transcribe and separate speakers after the meeting

Upload or sync the recording to an AI transcription service with speaker diarization. The transcript assigns a speaker label to each statement based on voice characteristics.

4. Review the structured output for speaker-attributed decisions and action items

A structured AI pass on the diarized transcript produces meeting notes where each action item and decision is attributed to the speaker who made it — making the items directly assignable without returning to the recording.

See full method comparison ↓

Methods

Which setup takes AI notes in a multi-speaker in-person meeting

Compared on whether the method works for in-person meetings, whether speaker separation is available, whether internet is required during the meeting, and how complex the setup is.

Manual notes

Note-taker writes during the meeting. Speaker attribution depends on the note-taker tracking who is speaking in real time.

Works in-person
Yes
Speaker separation
Manual only

Online meeting bot

A bot joins the Zoom or Teams call and records the session with speaker labels based on login identity.

Works in-person
Online only
Speaker separation
Yes (login-based)

App-based in-person mode

Records in-person meetings through the phone microphone with partial speaker separation.

Works in-person
Yes
Speaker separation
Partial

Plaud Note Pro

Physical recorder with 4 MEMS microphones and AI beamforming for up to 5 meters with full speaker separation offline.

Works in-person
Yes
Speaker separation
Yes (AI beamforming)

Based on publicly available information about the tools mentioned and Plaud product data. Always obtain consent from all participants before recording any meeting.

Tips

Why phone recordings fail for multi-speaker meetings

A phone placed at the center of a table captures voices at decreasing quality with distance and mixes them together.

Audio quality drops with distanceVoices farther from the phone are recorded at lower quality, making separation difficult.
Voices mixed togetherA single mic cannot isolate individual speakers around a table.
No speaker labelsWithout distinct channels, diarization models cannot assign accurate speaker tags.

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