A pewter bench records overlapping customers, and without turn boundaries the intent tagger cannot see where one request ends. What role do timestamps or turn segmentation play?
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Short Explanation
Overlapping chatter is a messy river; turn marks are the bridges. Timestamps tell NLP which words belong to which request so intent tagging can land on the right span.
Full Explanation
Turn segmentation and timestamps are the join between ASR output and NLP labels. Without them, overlapping speech blurs request boundaries. They do not replace transcripts, and they are not diffusion generation controls.