Automatic Detection of Sentence Boundaries and Disfluencies Based on Recognized Words

  • Stolcke A
  • Shriberg E
  • Bates R
 et al. 
  • 46

    Readers

    Mendeley users who have this article in their library.
  • N/A

    Citations

    Citations of this article.

Abstract

We study the problem of detecting linguistic events at interword boundaries, such as sentence boundaries and disfluency locations, in speech transcribed by an automatic recognizer. Recovering such events is crucial to facilitate speech understanding and other natural language processing tasks. Our approach is based on a combination of prosodic cues modeled by decision trees, and word-based event N-gram language models. Several model com-bination approaches are investigated. The techniques are eval-uated on conversational speech from the Switchboard corpus. Model combination is shown to give a significant win over in-dividual knowledge sources.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Andreas Stolcke

  • Elizabeth Shriberg

  • Rebecca Bates

  • Mari Ostendorf

  • Dilek Hakkani

  • Madelaine Plauche

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free