Transcript-to-artifact
- Industry term
Transcript-to-artifact is the step of pulling a checked, usable output out of a recording or transcript, such as a list of decisions, action items with owners and dates, or a one-page summary.
Two programs stand between audio and output. Speech recognition writes the audio out as words, guessing when a name, number, or speaker is unclear. A language model then selects and condenses those words. Each adds its own errors, and the second can't hear the audio, so a misheard figure reaches the summary looking settled.
Where you’ll meet it
Your agent's summary of a phone call with a moving company says packing costs $15 per box. You remember hearing fifty. The transcript reads “fifteen,” at a moment when the line crackled.
What to do
Play the recording at that moment and correct the summary. Before relying on the rest, ask the agent to list every price, date, and name it took from the call, each with its timestamp, and spot-check the ones that set what you'll pay.
Easy to mix up
Meeting capture starts from a meeting and files each item in its own record. Transcript-to-artifact can start from any recording, such as a call, lecture, or interview.
Check yourself
A call summary lists “move the launch” as a decision. In the recording, someone clearly says “let's not move the launch.” To learn which step lost the “not,” what do you open?
Go deeperRecording has consent rules, and accuracy scores weigh every word alike
Some places require everyone on a call to agree before it is recorded, including several US states, so a tool that records automatically can put its user on the wrong side of the law. Many meeting tools announce when a recording starts. How long to keep the audio and transcript is a separate decision, since recordings hold private details.
Speech recognition is usually scored by word error rate, roughly the share of words it gets wrong, which counts a misheard “the” the same as a misheard price. Summarization research calls a summary that states what its source never said “unfaithful,” and scores that separately from transcription errors.