Meeting recording · Multi-speaker transcription guide
How to record and transcribe meetings with multiple speakers
Recording a meeting with multiple speakers is straightforward. Getting a transcript where every line is attributed to the right person is not. The bottleneck is almost always the microphone: a phone sitting at one end of a table cannot hear distant speakers clearly, and the diarization model assigns labels based on what it receives, not on what was actually said.
Best for multi-speaker meetings
Quick answer
4 steps to record and transcribe a multi-speaker meeting
Mic placement determines speaker label accuracy more than any other factor.
1. Confirm consent from all participants before recording
Always confirm all participants have given consent before recording any meeting. Inform everyone the session will be recorded and transcribed. Many jurisdictions require all-party consent. Get verbal or written confirmation before you start.
2. Place the recording device at the center of the table
Mic distance from each speaker is the primary factor in speaker label accuracy. A centrally placed multi-mic recorder captures all voices at roughly equal distance.
3. Start recording before the meeting opens
Begin recording before the first person speaks. Starting late means the opener's remarks are not captured and the diarization model lacks context for that voice.
4. Sync and review the speaker-attributed transcript after the meeting
The transcript assigns lines to each detected speaker. Confirm or rename any generic labels so action items can be attributed by name.
Methods
Which recording method produces accurate speaker labels
Compared on how much setup each method requires, which meeting formats it covers, how accurate speaker labels are, and whether transcription is included.
Phone app on table (Otter.ai, etc.)
A phone laid on the table records through a single mic. Speaker labels are wrong roughly 30% of the time because the mic cannot hear all participants equally.
AI bot via call link
The bot joins a video or phone call and labels speakers from the call audio. It cannot enter a physical room.
Laptop or standalone recorder
Records audio at better quality than a phone. No built-in diarization. Upload to a separate tool for manual labeling.
Physical AI recorder (Plaud Note Pro)
4 MEMS mics with AI beamforming capture all speakers at table distance. 5 m pickup from one central placement.
Based on common recording scenarios and Plaud product data. Always follow your organization's recording policy and local consent laws.
Tips
Speaker label accuracy is a hardware problem, not a software problem
Diarization models assign labels by distinguishing voice characteristics in the audio signal. When the microphone is far from some speakers, their voices arrive quieter and with more room noise.
