most citedWaBERT: A Low-resource End-to-end Model for Spoken Language Understanding and Speech-to-BERT Alignment

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

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cs.CL2022★ 1 cited

WaBERT: A Low-resource End-to-end Model for Spoken Language Understanding and Speech-to-BERT Alignment

Lin Yao, Jianfei Song, Ruizhuo Xu +3

Historically lower-level tasks such as automatic speech recognition (ASR) and speaker identification are the main focus in the speech field. Interest has been growing in higher-lev…