Slovak database of speech affected by neurodegenerative diseases

A new Slovak speech database EWA-DB was created for research purposes aimed at early detection of neurodegenerative diseases from speech. It contains 1649 speakers performing various speech and language tasks, such as sustained vowel phonation, diadochokinesis, naming and picture description. The sample of speakers consists of individuals with Alzheimer's disease, mild cognitive impairment, Parkinson's disease, and healthy controls. In this article we describe the EWA-DB development process, the language and speech task selection, patient and healthy control recruitment, as well as the testing and recording protocol. The structure and content of the database and file formats are described in detail. We assume that the presented database could be suitable for the development of automatic systems predicting the diagnoses of Alzheimer's disease, mild cognitive impairment, and Parkinson's disease from language and speech features.

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Publication Details

Journal
Scientific Data
Published
2024-12-04
DOI
https://doi.org/10.1038/s41597-024-04171-6
Citations
6
Primary Topic
Voice and Speech Disorders
Type
article
Field-Weighted Citation Impact
1.96

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article

Slovak database of speech affected by neurodegenerative diseases

Viktória Kevická, Petra Brandoburová, Alfréd Zimmermann, Richard Malaschitz et al.
6 citations
Scientific Data
Voice and Speech Disorders
1.96
article

Slovak database of speech affected by neurodegenerative diseases

Viktória Kevická, Petra Brandoburová, Alfréd Zimmermann, Richard Malaschitz, Róbert Sabo, Marián Trnka, Milan Rusko, Eugen Ružický, Matěj Škorvánek
article en
6 citations

Abstract

A new Slovak speech database EWA-DB was created for research purposes aimed at early detection of neurodegenerative diseases from speech. It contains 1649 speakers performing various speech and language tasks, such as sustained vowel phonation, diadochokinesis, naming and picture description. The sample of speakers consists of individuals with Alzheimer's disease, mild cognitive impairment, Parkinson's disease, and healthy controls. In this article we describe the EWA-DB development process, the language and speech task selection, patient and healthy control recruitment, as well as the testing and recording protocol. The structure and content of the database and file formats are described in detail. We assume that the presented database could be suitable for the development of automatic systems predicting the diagnoses of Alzheimer's disease, mild cognitive impairment, and Parkinson's disease from language and speech features.

Scientific DataVol. 11(1)
University of Pavol Jozef Šafárik (SK), Slovak Academy of Sciences (SK), Pan-European University (SK), BIC Bratislava (Slovakia) (SK), University Hospital Bratislava (SK), Univerzitná Nemocnica Louisa Pasteura (SK), Biomedical Research Center of the Slovak Academy of Sciences (SK), Institute of Informatics of the Slovak Academy of Sciences (SK), AXON Neuroscience (Slovakia) (SK), Comenius University Bratislava (SK)
Agentúra na Podporu Výskumu a Vývoja, European Regional Development Fund
Openalex Percentile: Top 13%
Voice and Speech Disorders
1.96
DOIOpen Access PDFOpenAlex
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