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<p>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.</p>

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Database of Speech and Language Affected by Mild Cognitive Impairment

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月17日

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  • Milan Rusko,
  • Petra Brandoburová,
  • Viktória Kevická,
  • Marian Trnka,
  • Róbert Sabo,
  • Sakhia Darjaa,
  • Richard Malschitz

摘要

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.