Detection of Cognitive Disorders Using ASR-Based Nonsense Words Repetition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AW9PXRUDC" target="_blank" >RIV/00216208:11320/26:W9PXRUDC - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-032-02548-7_21" target="_blank" >http://dx.doi.org/10.1007/978-3-032-02548-7_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-032-02548-7_21" target="_blank" >10.1007/978-3-032-02548-7_21</a>
Alternative languages
Result language
angličtina
Original language name
Detection of Cognitive Disorders Using ASR-Based Nonsense Words Repetition
Original language description
We investigate whether immediate repetition of nonsense words can distinguish cognitively healthy adults from those with mild cognitive impairment (MCI) or dementia. In a computer-based study, 129 Czech speakers (45–84 y) repeated six pseudowords; each session was recorded and transcribed by four state-of-the-art ASR models. Grapheme-level similarity between the transcript and the target word served as a phonological accuracy score. Using logistic regression, the best ASR variant (wav2vec-nolm, no language model) separated patients from controls with 77 % accuracy, whereas language-model–’corrected’ hypotheses performed markedly worse. These findings show that a very short, vocabulary-free task can reveal early linguistic decline while requiring only consumer hardware and minimal instruction. Incorporating such a nonsense word repetition subtask into digital neuropsychological batteries could therefore sharpen large-scale, remote screening and help clinicians focus full assessments on individuals at greatest risk.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2026
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Text, Speech, and Dialogue
ISBN
978-3-032-02548-7
ISSN
—
e-ISSN
—
Number of pages
12
Pages from-to
247-258
Publisher name
Springer Nature Switzerland
Place of publication
—
Event location
Cham
Event date
Jan 1, 2026
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—