17 citations · 30 across the 12 of their papers we have counts for
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cs.CL2021★ 1 cited
Investigation of Training Label Error Impact on RNN-T
I-Fan Chen, Brian King, Jasha Droppo
In this paper, we propose an approach to quantitatively analyze impacts of different training label errors to RNN-T based ASR models. The result shows deletion errors are more harm…
cs.CL2021
CoDERT: Distilling Encoder Representations with Co-learning for Transducer-based Speech Recognition
Rupak Vignesh Swaminathan, Brian King, Grant P. Strimel +2
We propose a simple yet effective method to compress an RNN-Transducer (RNN-T) through the well-known knowledge distillation paradigm. We show that the transducer's encoder outputs…