CHSER is a new 200K-pair dataset and case study showing that fine-tuned language models can correct child ASR errors, reducing WER by up to 28.5% relative.
Hubert: Self-supervised speech representation learning by masked prediction of hidden units,
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CHSER: A Dataset and Case Study on Generative Speech Error Correction for Child ASR
CHSER is a new 200K-pair dataset and case study showing that fine-tuned language models can correct child ASR errors, reducing WER by up to 28.5% relative.