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Transcript cleanup needs an editing policy, not a global filler-word filter

This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.

A text-cleaning step can quietly change what a speaker meant. Consider this invented example: I sent fifteen—no, fifty invitations. Um, I haven’t received a reply. Removing an empty “um” may fit a clean-verbatim brief. Deleting the self-correction or “haven’t” changes the statement. Treating every…

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  1. 2026-09-14 09:04 · DEV Community — AI
    Transcript cleanup needs an editing policy, not a global filler-word filter

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