Treat a detected click as a location to review, rather than proof of unwanted mouth noise. Short consonants, percussion and edit boundaries can also look like sharp transients. Listen to the complete word before and after a local candidate repair. If the consonant becomes less recognizable, restore it even when the waveform looks smoother.
Classify the short sound by context
Start from the untreated source with music muted. Note whether the sound occurs in a genuine pause, within a syllable or exactly at an edit. A small mouth sound before a sentence needs a different decision from the t that identifies the first word. A click only at a new cut suggests checking the splice rather than running a whole-file mouth-noise treatment.
Keep a list of candidate events with their surrounding words. When several noises occur, do not assume one aggressive setting can distinguish every event correctly. Listen to a control phrase that has sharp consonants but no obvious unwanted clicks.
Use detection as a review list
Adobe's Diagnostics reference describes scanning and selecting detected items for action. Its restoration documentation discusses click-removal controls and potential damage to wanted audio. These external features provide candidates; their presence does not prove that a detected transient is expendable.
Work on a copy. Repair one identified event, then play the whole word and adjacent syllables. Compare a restrained detection setting with bypass before widening the range. If the result alters a consonant, restore that event and try a narrower manual edit or leave it intact. Do not repeatedly process a previously repaired export to chase a perfectly smooth trace.
A hypothetical consonant control test
Record a short test sentence containing “take,” “ticket” and “keep,” with a natural pause between two phrases. Mark only the mouth clicks a listener identifies independently. Then compare the proposed repairs while asking another listener to write down the words without the script.
This is a proposed test, not a measured performance claim for a click remover. A worksheet can contain event time, classification, treatment version, word clarity and new artifact. If the original word is easy to recognize but the treated word is uncertain, reject the treatment for that event. Record the rejected detection as well as the accepted repair.
Judge the delivered narration
Accept when selected unwanted clicks are less conspicuous and complete speech remains natural. Reject lost consonants, softened word attacks, a new chirp or an edit whose boundary becomes more distracting than the original noise. A quiet mouth sound may be preferable to damaged narration.
Review the exported file at normal speed, first alone and then within the final music mix. Save the untouched take and the event log for revisions. Imagild's Skills can help create accompanying visuals; this click classification and repair belong to an external audio application and human listening. No automated label can replace the decision about what the speaker actually needs the audience to hear.