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

Zoe Ezzes, Sarah M. Schneck, Marianne Casilio, Davida Fromm, Antje S. Mefferd, Michael de Riesthal and Stephen M. Wilson ()
Additional contact information
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

Data, 2022, vol. 7, issue 11, 1-7

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.

Keywords: aphasia; connected speech; auditory-perceptual rating (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2306-5729/7/11/148/pdf (application/pdf)
https://www.mdpi.com/2306-5729/7/11/148/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:7:y:2022:i:11:p:148-:d:958230

Access Statistics for this article

Data is currently edited by Ms. Cecilia Yang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().