What is Meeting Transcription?
Also called Call Transcription, Conversation Transcript.
Meeting transcription is the conversion of a multi speaker conversation into a written record, usually with speaker labels and timestamps. It combines speech recognition with diarization, the task of determining who spoke when, and often adds punctuation and paragraph structure. Accuracy depends on microphone setup, overlapping speech, and how familiar the vocabulary is.
Where audio is captured per participant, each stream is transcribed separately and merged by timestamp, which gives clean speaker attribution. Where only a mixed recording exists, diarization has to infer speaker boundaries from voice characteristics alone, and attribution degrades when people talk over each other or when two voices are similar. Naming speakers requires either a roster or an enrollment sample.
Transcripts fail in predictable places: company and product names, acronyms, numbers, and rapid crosstalk. Supplying a vocabulary list of expected names materially reduces errors. Timestamps matter as much as the words, because they let a reader jump to the moment rather than trusting the text alone, and they anchor any later summary back to its evidence.
A transcript is a record, and records have consequences. Retention periods, who is allowed to search them, and whether external participants agreed to being recorded are governance questions rather than technical ones. Treating a transcript as verbatim truth is the other mistake, since a misheard negation can invert a sentence, so anything consequential should be checked against the audio.
Transcription is the raw material that everything else in the meeting stack depends on. Summaries, action items, search, and analytics all inherit its errors, which is why investment in microphone setup and vocabulary lists usually improves downstream output more than swapping the summarization step.
Key points
- Combines speech recognition with speaker diarization
- Per participant audio yields far cleaner speaker attribution
- Names, acronyms, and numbers are the common error sites
- Timestamps let readers verify claims against the recording
- Transcripts are records subject to retention and access rules
In practice
A product team records a forty minute research interview with two participants sharing one conference microphone. The transcript labels both speakers correctly for most of the call but merges them during a rapid exchange near minute twenty two. A researcher quoting a finding opens that timestamp, listens back, and finds the key sentence belongs to the second participant, not the first as the transcript suggested.