Xiaodong Zeng
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126
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2026
Data-Efficient On-Policy Distillation for Automatic Speech Recognition
The paper demonstrates that using on-policy distillation from a strong teacher model significantly improves the performance of compact Automatic Speech Recognition (ASR) models, achieving competitive results with a much smaller audio dataset compared to supervised fine-tuning.
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