eagle-i Oregon Health & Science UniversityOregon Health & Science University
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Automated measurement of dialogue structure in autism

eagle-i ID


Resource Type

  1. Software


  1. Resource Description
    "This software combines the power of machine-based sensing and computation to improve the study of speech patterns in individuals with autism. Current manual methods for measuring narrative coherence are not only difficult to obtain and extremely time consuming but it is unclear whether the human coder can even detect the statistical degree of semantic similarity as the machine can. This software analyzes recordings being collected from two narrative recall tests that have the potential to uncover a wider range of speech differences between ASD and others. The hope is that this will clinically define children with ASD relative to typically developing children and differentiate ASD from other groups who also have communication impairments, i.e., children with developmental language delay (DLD), as well as differentiate speech characteristics or markers that might better discriminate subtypes within the ASD umbrella (e.g., HFA vs. Asperger's)." This software analyzes human voice inputs.
  2. Used by
    Center for Spoken Language Understanding
  3. Website(s)
  4. Developed by
    Roark, Brian E., Ph.D.
  5. Developed by
    Black, Lois M., Ph.D.
  6. Software license
    Open source software license
Provenance Metadata About This Resource Record
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016