Segmenting Subtitles for Correcting ASR Segmentation Errors

@article{Wan2021SegmentingSF,
  title={Segmenting Subtitles for Correcting ASR Segmentation Errors},
  author={David Wan and Chris Kedzie and Faisal Ladhak and Elsbeth Turcan and Petra Galusc{\'a}kov{\'a} and Elena Zotkina and Zhengping Jiang and Peter Bell and Kathleen McKeown},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.07868}
}
Typical ASR systems segment the input audio into utterances using purely acoustic information, which may not resemble the sentence-like units that are expected by conventional machine translation (MT) systems for Spoken Language Translation. In this work, we propose a model for correcting the acoustic segmentation of ASR models for low-resource languages to improve performance on downstream tasks. We propose the use of subtitles as a proxy dataset for correcting ASR acoustic segmentation… 

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