A representation-learning pretraining step, followed by brief CTC fine-tuning, yields lightweight Conformer ASR models with lower WER than from-scratch training in the paper's reported setup.
W H2D2N 2: Distributed ai-enabled ok-asn ser- vice for web of things,
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An Effective Training Framework for Light-Weight Automatic Speech Recognition Models
A representation-learning pretraining step, followed by brief CTC fine-tuning, yields lightweight Conformer ASR models with lower WER than from-scratch training in the paper's reported setup.