Evaluating Fluency in Aphasia: Fluency Scales, Trichotomous Judgements, or Machine Learning.

Journal: Aphasiology
Published Date: Feb 6, 2023

Abstract

BACKGROUND: Speech-language pathologists (SLPs) and other clinicians often use aphasia batteries, such as the Western Aphasia Battery-Revised (WAB-R), to evaluate both severity and classification of aphasia. However, the fluency scale on the WAB-R is not entirely objective and has been found to have less than ideal inter-rater reliability, due to variability in weighing the importance of one dimension (e.g. articulatory effort or grammaticality) over another. This limitation has implications for aphasia classification. The subjectivity might be mitigated through the implementation of machine learning to identify fluent and non-fluent speech.

Authors

  • Jeet Metu
    Rock Ridge High School, Johns Hopkins University School of Medicine, and Cognitive Science, Johns Hopkins University, Baltimore, MD 21287.
  • Vishal Kotha
    Thomas Jefferson High School for Science and Technology, Johns Hopkins University School of Medicine, and Cognitive Science, Johns Hopkins University, Baltimore, MD 21287.
  • Argye E Hillis
    Departments of Neurology and Physical Medicine & Rehabilitation, Johns Hopkins University School of Medicine, and Cognitive Science, Johns Hopkins University, Baltimore, MD 21287.

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