ArticleScientific data2024
Slovak database of speech affected by neurodegenerative diseases.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Speech Database of Consonant-based Articulation Assessment Battery plus Sustained Vowels for Oral and Oropharyngeal Cancers.Scientific data · 2026Article
- Database of Speech and Language Affected by Mild Cognitive Impairment.Scientific data · 2026Article
- ParkMAE: a cross-linguistic masked autoencoder framework for robust Parkinson's disease detection from speech.Scientific reports · 2025Article
- Article
- Identification of Smith-Magenis syndrome cases through an experimental evaluation of machine learning methods.Frontiers in computational neuroscience · 2024Article
- Relationship between language features extracted through NLP and clinically diagnosed Alzheimer's disease and mild cognitive impairment in Slovak.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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