Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021:3:780169.
doi: 10.3389/fcomp.2021.780169. Epub 2021 Oct 21.

Editorial: Alzheimer's Dementia Recognition through Spontaneous Speech

Saturnino Luz  1 , Fasih Haider  1 , Sofia de la Fuente Garcia  1 , Davida Fromm  2 , Brian MacWhinney  2
Affiliations

Editorial: Alzheimer's Dementia Recognition through Spontaneous Speech

Saturnino Luz et al. Front Comput Sci. 2021.
No abstract available

Keywords: Alzheimer’s disease; computational paralinguistics; machine learning; natural language processing (NLP); signal processing (SP); speech processing and recognition.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

    1. Becker JT, Boller F, Lopez O, Saxton J, and McGonigle K (1994). The Natural History of Alzheimer’s Disease. Arch. Neurol. 51, 585–594. doi:10.1001/archneur.1994.00540180063015 - DOI - PubMed
    1. de la Fuente Garcia S, Ritchie CW, and Luz S (2020). Artificial Intelligence, Speech, and Language Processing Approaches to Monitoring Alzheimer’s Disease: A Systematic Review. J. Alzheimers Dis. 78, 1547–1574. doi:10.3233/JAD-200888 - DOI - PMC - PubMed
    1. Devlin J, Chang M-W, Lee K, and Toutanova K (2018). Bert: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv. [Preprint] arXiv:1810.04805.
    1. Folstein MF, Folstein SE, and McHugh PR (1975). “Mini-mental State”. J. Psychiatr. Res. 12, 189–198. doi:10.1016/0022-3956(75)90026-6 - DOI - PubMed
    1. Fraser KC, Meltzer JA, and Rudzicz F (2015). Linguistic Features Identify Alzheimer’s Disease in Narrative Speech. J. Alzheimers Dis. 49, 407–422. doi:10.3233/JAD-150520 - DOI - PubMed

LinkOut - more resources