A Systematic Review of Alzheimer's disease detection based on speech and natural language processing-Reference-Cited by-同舟云学术

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A Systematic Review of Alzheimer's disease detection based on speech and natural language processing

Published:2022-04-21 Issue: Volume: Page:
ISSN:
Container-title:2022 32nd International Conference Radioelektronika (RADIOELEKTRONIKA)
language:
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Author:

Sevcik Adam¹,Rusko Milan²

Affiliation:

1. Institute of informatics Slovak Academy of Sciences Bratislava, Slovakia Faculty of Informatics and Information Technologies Slovak University of Technology,Bratislava,Slovakia

2. Institute of informatics Slovak Academy of Sciences,Bratislava,Slovakia

Funder

European Regional Development Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9764897/9764898/09764938.pdf?arnumber=9764938

Reference43 articles.

1. MildInt: Deep Learning-Based Multimodal Longitudinal Data Integration Framework

2. Predicting mini-mental status examination scores through paralinguistic acous-tic features of spontaneous speech;fu;2020 42nd An-nual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),0

3. Automatic detection and assess-ment of Alzheimer Disease using speech and language technologies in low-resource scenarios;pappagari;Proc In-terspeech,0

4. Detecting Alzheimer's Disease using Interactional and Acoustic features from Spontaneous Speech;nasreen;InterSpeech,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EWA-DB, Slovak Database of Speech Affected by Neurodegenerative Diseases;2023-10-14

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