A single student model trained on essence knowledge from a teacher ensemble plus hard labels outperforms both a standard single model and the teacher ensemble itself on the Switchboard dataset.
Data augmentation for deep neural network acoustic modeling,
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Essence Knowledge Distillation for Speech Recognition
A single student model trained on essence knowledge from a teacher ensemble plus hard labels outperforms both a standard single model and the teacher ensemble itself on the Switchboard dataset.