A granite-quarry visitor radio dumps raw speech to text full of slang and repeats. The team wants clean place names before a photo-of-the-face lookup. How should they frame the transformer step?
Select an answer to reveal the explanation.
Short Explanation
The radio already turned speech into words. The transformer is the broom that sweeps slang and repeats so place names are usable. That sits between capture and the photo lookup — it is not a new ear for the radio.
Full Explanation
Transcript normalization is a text-manipulation stage after speech-to-text and before visual retrieval. Framing it as a text-arm experiment keeps the recognizer and the image lookup fixed while testing whether cleaner place names improve the multimodal handoff. Retraining acoustics or rewriting photos changes different modalities.