Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer’s Disease

Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Surendrabikram Thapa, Usman Naseem, Mehwish Nasim

Research output: Chapter in Book/Conference paperConference paperpeer-review


Alzheimer’s Disease (AD) is a neurodegenerative disorder that affects cognitive abilities and memory, especially in older adults. One of the challenges of AD is that it can be difficult to diagnose in its early stages. However, recent research has shown that changes in language, including speech decline and difficulty in processing information, can be important indicators of AD and may help with early detection. Hence, the speech narratives of the patients can be useful in diagnosing the early stages of Alzheimer’s disease. While the previous works have presented the potential of using speech narratives to diagnose AD in high-resource languages, this work explores the possibility of using a low-resourced language, i.e., Hindi language, to diagnose AD. In this paper, we present a dataset specifically for analyzing AD in the Hindi language, along with experimental results using various state-of-the-art algorithms to assess the diagnostic potential of speech narratives in Hindi. Our analysis suggests that speech narratives in the Hindi language have the potential to aid in the diagnosis of AD. Our dataset and code are made publicly available at
Original languageEnglish
Title of host publicationProceedings of the 5th Clinical Natural Language Processing Workshop
Place of PublicationCanada
PublisherAssociation for Computational Linguistics (ACL)
Number of pages7
ISBN (Electronic)9781959429883
Publication statusPublished - Jul 2023
Event5th Clinical Natural Language Processing Workshop - Toronto, Canada
Duration: 14 Jul 202314 Jul 2024


Conference5th Clinical Natural Language Processing Workshop
Abbreviated titleACL 2023

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