most citedSynthetic Cross-accent Data Augmentation for Automatic Speech Recognition

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cs.AI2024

Improving Speech Recognition Error Prediction for Modern and Off-the-shelf Speech Recognizers

Prashant Serai, Peidong Wang, Eric Fosler-Lussier

Modeling the errors of a speech recognizer can help simulate errorful recognized speech data from plain text, which has proven useful for tasks like discriminative language modelin…