A panel discussion brings together several voices around a shared topic - and presents a genuine transcription challenge. Multiple speakers, interruptions, crosstalk, a moderator managing time: capturing precisely who said what is virtually impossible by hand at full speed.
Diarisation at the service of multi-speaker formats
Listen automatically identifies each voice and attributes their contributions. In a six-person panel, the transcript clearly distinguishes [Speaker A], [Speaker B] through to [Moderator]. The AI summary synthesises each participant's position. Panel formats are equally common at Westminster committee hearings, US congressional testimonies and international conference stages. For press conferences with more formal structures, see our article on press conferences.
From verbatim to publishable content
The full transcript can be worked into a verbatim article, a position summary, or a set of attributed pull-quotes. Each speaker's exact words are verifiable - a significant asset in editorial environments where accuracy standards are high.
Ask each panellist to introduce themselves by name at the start. Listen uses these vocal fingerprints to improve attribution accuracy throughout the discussion.
Discover the Listen guide for multi-speaker formats.