Post-Processing Automatic Transcriptions with Machine Learning for Verbal Fluency Scoring.

Journal: Speech communication
Published Date:

Abstract

OBJECTIVE: To compare verbal fluency scores derived from manual transcriptions to those obtained using automatic speech recognition enhanced with machine learning classifiers.

Authors

  • Justin Bushnell
    Department of Neurology, Indiana University, Indianapolis, IN, USA.
  • Frederick Unverzagt
    Department of Psychology, Indiana University, Indianapolis, IN, USA.
  • Virginia G Wadley
    Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Richard Kennedy
    Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • John Del Gaizo
    Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA.
  • David Glenn Clark
    Department of Neurology, Indiana University, Indianapolis, IN, USA.

Keywords

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