Correction: A quick aphasia battery for efficient, reliable, and multidimensional assessment of language function

Wilson, Stephen M.; Eriksson, Dana K.; Schneck, Sarah M.; Lucanie, Jillian M.

doi:10.1371/journal.pone.0199469

Cited by 19 publications

(2 citation statements)

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“…In addition to the large corpus of data using the standard discourse protocol, AphasiaBank contains over 20 corpora contributed by researchers who collected language data specific to their research goals. Examples include: (1) the QAB corpus, which contains video files for 19 PWAs doing the Quick Aphasia Battery with transcripts for the 5 min conversation segment (Wilson et al, 2018); (2) the Olness corpus, which contains transcripts and audio files from 50 PWAs and 30 controls, half of whom are Caucasian and half African American, doing a wide variety of discourse tasks and an ethnographic semistructured interview; and (3) the SouthAL corpus, which contains transcripts and media files for 9 PWAs and 8 controls reading passages from the Gray Oral Reading Test (Wiederholt and Bryant, 2012).…”

Section: Aphasiabankmentioning

confidence: 99%

Language Sample Analysis With TalkBank: An Update and Review

MacWhinney

Fromm

2022

Front. Commun.

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This chapter examines state-of-the-art methods for coding, analyzing, and interpreting discourse-level language data from children and adults with language disorders using the data, tools, and methods provided by the TalkBank system (https://www.talkbank.org). These open and free methods have been used for language sample analysis (LSA) with several clinical populations (e.g., child language disorders, stuttering, aphasia, dementia, traumatic brain injury, right hemisphere brain damage), as well as with control participants without communication impairments. We review the six core principles guiding TalkBank, the current shape of the 15 TalkBank databanks, and the different analytic tools provided by TalkBank. We examine automatic TalkBank methods that use ASR (automatic speech recognition), NLP (natural language processing), database technology, statistics in R and Python, and ML (machine learning). The specific tools include corpus analysis methods, LSA profiling systems, online database searches through TalkBank, online browsing through transcripts linked to media, and a new system for online collaborative commentary. These systems provide multimedia access to transcripts from a wide variety of participants with and without language disorders.

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Section: Aphasiabankmentioning

confidence: 99%

Language Sample Analysis With TalkBank: An Update and Review

MacWhinney

Fromm

2022

Front. Commun.

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“…Demographic, neurological, and behavioral data for each participant are provided in Table 1. Each individual's aphasia profile was characterized using the Quick Aphasia Battery [8], an efficient, reliable, and multidimensional speech and language evaluation. The administration of this battery is included in each audiovisual recording.…”

Section: Demographic Neurological and Behavioral Datamentioning

confidence: 99%

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

Ezzes

Schneck

Casilio

et al. 2022

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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.

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Assessment of language impairment and function

Richardson

Dalton

2022

Handbook of Clinical Neurology

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Correction: A quick aphasia battery for efficient, reliable, and multidimensional assessment of language function

Cited by 19 publications

References 1 publication

Language Sample Analysis With TalkBank: An Update and Review

Language Sample Analysis With TalkBank: An Update and Review

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

Assessment of language impairment and function

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