Database of Speech and Language Affected by Mild Cognitive Impairment

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Authors: Milan Rusko, Petra Brandoburová, Viktória Kevická, Marián Trnka, Róbert Sabo, Sakhia Darjaa, Richard Malschitz
Cited by: 1
References: 31

Abstract

Mild Cognitive Impairment (MCI) is increasingly recognized as an early indicator of neurodegenerative diseases, including Alzheimer's disease (AD). Speech and language deficits are known to emerge already in the MCI stage of various aetiologies. The ALOIS database (ALOIS-DB) was created to support research and development in this area by creating and providing a corpus of speech from Slovak-speaking individuals diagnosed with MCI and cognitively healthy controls. The dataset includes recordings from 258 participants (102 MCI, 156 controls), collected through a battery of nine speech and language tasks targeting various speech and language domains. All recordings were obtained using a custom-developed tablet application and were transcribed and annotated according to established protocols. The resulting dataset is accompanied by metadata and is publicly available for research purposes. ALOIS-DB represents a valuable resource for developing automated tools for the detection of early cognitive decline and contributes to the growing body of speech data relevant to neurocognitive disorders.

Fields of Study & Subjects

Dementia and Cognitive Impairment Research Neurobiology of Language and Bilingualism Voice and Speech Disorders

Publication details

Journal / source
Scientific Data
Publisher
Springer Science and Business Media LLC
Volume
13
Issue
1
Publication date
17 March 2026
Language
EN