A symmetric blank-selection method for CTC knowledge distillation lets a student model train without any CTC loss and with no loss in word error rate.
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Analyzing the Importance of Blank for CTC-Based Knowledge Distillation
A symmetric blank-selection method for CTC knowledge distillation lets a student model train without any CTC loss and with no loss in word error rate.