For a fixed training budget, low-resource ASR models handle unseen accents best when trained on more speakers with less audio each, and accent diversity in training gives minimal extra benefit.
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Effects of Speaker Count, Duration, and Accent Diversity on Zero-Shot Accent Robustness in Low-Resource ASR
For a fixed training budget, low-resource ASR models handle unseen accents best when trained on more speakers with less audio each, and accent diversity in training gives minimal extra benefit.