IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v7y2022i11p148-d958230.html
   My bibliography  Save this article

An Open Dataset of Connected Speech in Aphasia with Consensus Ratings of Auditory-Perceptual Features

Author

Listed:
  • Zoe Ezzes

    (Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA)

  • Sarah M. Schneck

    (Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA)

  • Marianne Casilio

    (Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA)

  • Davida Fromm

    (Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA)

  • Antje S. Mefferd

    (Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA)

  • Michael de Riesthal

    (Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA)

  • Stephen M. Wilson

    (Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA)

Abstract

Auditory-perceptual rating of connected speech in aphasia (APROCSA) is a system in which trained listeners rate a variety of perceptual features of connected speech samples, representing the disruptions and abnormalities that commonly occur in aphasia. APROCSA has shown promise as an approach for quantifying expressive speech and language function in individuals with aphasia. The aim of this study was to acquire and share a set of audiovisual recordings of connected speech samples from a diverse group of individuals with aphasia, along with consensus ratings of APROCSA features, for future use as training materials to teach others how to use the APROCSA system. Connected speech samples were obtained from six individuals with chronic post-stroke aphasia. The first five minutes of participant speech were excerpted from each sample, and five researchers independently evaluated each sample using APROCSA, rating its 27 features on a five-point scale. The researchers then discussed each feature in turn to obtain consensus ratings. The dataset will provide a useful, freely accessible resource for researchers, clinicians, and students to learn how to evaluate aphasic speech with an auditory-perceptual approach.

Suggested Citation

  • Zoe Ezzes & Sarah M. Schneck & Marianne Casilio & Davida Fromm & Antje S. Mefferd & Michael de Riesthal & Stephen M. Wilson, 2022. "An Open Dataset of Connected Speech in Aphasia with Consensus Ratings of Auditory-Perceptual Features," Data, MDPI, vol. 7(11), pages 1-7, October.
  • Handle: RePEc:gam:jdataj:v:7:y:2022:i:11:p:148-:d:958230
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/7/11/148/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2306-5729/7/11/148/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:7:y:2022:i:11:p:148-:d:958230. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.