A municipal chronometer bench needs the visitor booth to recognize shop terms like “escapement” and “fusee.” Building a speech recognizer from silence would need a huge labeled set. What is the efficient path?
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Short Explanation
Riva already knows how to listen; you just teach it the shop dialect. Adapting a related ASR model is transfer for the speech arm—not reinventing an ear from silence.
Full Explanation
NVIDIA Riva ASR customization is transfer and adaptation from a related pretrained speech model. That approach avoids training a recognizer from scratch when labeled speech is scarce. Scale settings and vision encoders do not teach shop vocabulary.