Visualizing Punctuation Restoration in Speech Transcripts with Prosograph

Alp Öktem, Mireia Farrús, Antonio Bonafonte


We have developed a neural architecture that tests the effect of lexical, morphosyntactic and prosodic features in restoring punctuation in speech transcriptions. Having outperformed a baseline model in terms of precision and recall, we further extend our performance tests by attaching it in a speech recognition pipeline. The visual and interactive testing environment that we prepared helps us observe how our models generalizes in unseen data and also plan our next steps for improvement.


Cite as: Öktem, A., Farrús, M., Bonafonte, A. (2018) Visualizing Punctuation Restoration in Speech Transcripts with Prosograph. Proc. Interspeech 2018, 1493-1494.


@inproceedings{Öktem2018,
  author={Alp Öktem and Mireia Farrús and Antonio Bonafonte},
  title={Visualizing Punctuation Restoration in Speech Transcripts with Prosograph},
  year=2018,
  booktitle={Proc. Interspeech 2018},
  pages={1493--1494}
}