Transcribing multi-speaker interviews without losing the thread

7 min read

Overlapping speech is the single biggest source of transcription errors in interviews — when two people talk over each other, the model has to guess who said what.

Speaker labels help you scan a transcript fast, but they're not always perfectly assigned on crosstalk — treat them as a strong hint, not ground truth, near interruptions.

The fastest cleanup workflow: read once for content, a second pass only for the handful of lines where speakers overlapped.