Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks

@article{Ragni2018ConfidenceEA,
  title={Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks},
  author={Anton Ragni and Qiujia Li and Mark John Francis Gales and Yongqiang Wang},
  journal={2018 IEEE Spoken Language Technology Workshop (SLT)},
  year={2018},
  pages={204-211}
}
  • Anton Ragni, Qiujia Li, +1 author Yongqiang Wang
  • Published in
    IEEE Spoken Language…
    2018
  • Computer Science, Engineering
  • The standard approach to assess reliability of automatic speech transcriptions is through the use of confidence scores. If accurate, these scores provide a flexible mechanism to flag transcription errors for upstream and downstream applications. One challenging type of errors that recognisers make are deletions. These errors are not accounted for by the standard confidence estimation schemes and are hard to rectify in the upstream and downstream processing. High deletion rates are prominent in… CONTINUE READING
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