most citedSequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation

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

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3 papers

cs.CL2021★ 2 cited

Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation

Qinglin Zhang, Qian Chen, Yali Li +2

Transcripts generated by automatic speech recognition (ASR) systems for spoken documents lack structural annotations such as paragraphs, significantly reducing their readability. A…

cs.CL2021

Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning

Qian Chen, Wen Wang, Qinglin Zhang

In the traditional cascading architecture for spoken language understanding (SLU), it has been observed that automatic speech recognition errors could be detrimental to the perform…

cs.CL2021

Discriminative Self-training for Punctuation Prediction

Qian Chen, Wen Wang, Mengzhe Chen +1

Punctuation prediction for automatic speech recognition (ASR) output transcripts plays a crucial role for improving the readability of the ASR transcripts and for improving the per…