Model Adaptation for Sentence Segmentation from Speech

@article{Cuendet2006ModelAF,
  title={Model Adaptation for Sentence Segmentation from Speech},
  author={S{\'e}bastien Cuendet and Dilek Z. Hakkani-T{\"u}r and G{\"o}khan T{\"u}r},
  journal={2006 IEEE Spoken Language Technology Workshop},
  year={2006},
  pages={102-105}
}
This paper analyzes various methods to adapt sentence segmentation models trained on conversational telephone speech (CTS) to meeting style conversations. The sentence segmentation model trained using a large amount of CTS data is used to improve the performance when various amounts of meeting data are available. We test the sentence segmentation performance on both reference and speech-to-text (STT) conditions on the ICSI MRDA meeting corpus using the switchboard CTS Corpus as the out-of… CONTINUE READING
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