Corpus ID: 211677760

Identification of primary and collateral tracks in stuttered speech

@article{Riad2020IdentificationOP,
  title={Identification of primary and collateral tracks in stuttered speech},
  author={Rachid Riad and Anne-Catherine Bachoud-L'evi and F. Rudzicz and Emmanuel Dupoux},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.01018}
}
Disfluent speech has been previously addressed from two main perspectives: the clinical perspective focusing on diagnostic, and the Natural Language Processing (NLP) perspective aiming at modeling these events and detect them for downstream tasks. In addition, previous works often used different metrics depending on whether the input features are text or speech, making it difficult to compare the different contributions. Here, we introduce a new evaluation framework for disfluency detection… Expand
2 Citations

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