most citedLeveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CL2023★ 2 cited

Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions

Nay San, Martijn Bartelds, Blaine Billings +7

Recent research using pre-trained transformer models suggests that just 10 minutes of transcribed speech may be enough to fine-tune such a model for automatic speech recognition (A…