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Depression is a mental disorder and can cause a variety of symptoms, including psychological, physical, and social. Speech has been proved an objective marker for the early recognition of depression. For this reason, many studies have been…

Machine Learning · Computer Science 2026-05-12 Loukas Ilias , Dimitris Askounis

Dementia is a leading cause of diseases for the elderly. Early diagnosis is very important for the elderly living with dementias. In this paper, we propose a method for dementia diagnosis by predicting MMSE score from finger-tapping…

Quantitative Methods · Quantitative Biology 2021-11-17 Jian Ma

Automated speech analysis is a thriving approach to detect early markers of Alzheimer's disease (AD). Yet, recording conditions in most AD datasets are heterogeneous, with patients and controls often evaluated in different acoustic…

Early diagnosis of Alzheimer's Disease (AD) faces multiple data-related challenges, including high variability in patient data, limited access to specialized diagnostic tests, and overreliance on single-type indicators. These challenges are…

Quantitative Methods · Quantitative Biology 2025-03-05 Yizong Xing , Dhita Putri Pratama , Yuke Wang , Yufan Zhang , Brian E. Chapman

We present an approach to automatic detection of Alzheimer's type dementia based on characteristics of spontaneous spoken language dialogue consisting of interviews recorded in natural settings. The proposed method employs additive logistic…

Audio and Speech Processing · Electrical Eng. & Systems 2018-11-27 Saturnino Luz , Sofia de la Fuente , Pierre Albert

Objective: this study has a twofold goal. First, it aims to improve the understanding of the impact of Dementia of type Alzheimer's Disease (AD) on different aspects of the lexicon. Second, it aims to demonstrate that such aspects of the…

Computation and Language · Computer Science 2023-07-18 M. Zakaria Kurdi

Alzheimer's disease (AD) is a progressive neurodegenerative disease and recently attracts extensive attention worldwide. Speech technology is considered a promising solution for the early diagnosis of AD and has been enthusiastically…

Audio and Speech Processing · Electrical Eng. & Systems 2021-10-05 Ying Qin , Wei Liu , Zhiyuan Peng , Si-Ioi Ng , Jingyu Li , Haibo Hu , Tan Lee

This paper presents our submission to the PROCESS Challenge 2025, focusing on spontaneous speech analysis for early dementia detection. For the three-class classification task (Healthy Control, Mild Cognitive Impairment, and Dementia), we…

Audio and Speech Processing · Electrical Eng. & Systems 2025-05-28 Yin-Long Liu , Yuanchao Li , Rui Feng , Liu He , Jia-Xin Chen , Yi-Ming Wang , Yu-Ang Chen , Yan-Han Peng , Jia-Hong Yuan , Zhen-Hua Ling

Alzheimer's disease is an untreatable, progressive brain disorder that slowly robs people of their memory, thinking abilities, and ultimately their capacity to complete even the most basic tasks. Among older adults, it is the most frequent…

Image and Video Processing · Electrical Eng. & Systems 2025-02-11 Nasser A Alsadhan

We present our submission to the ICASSP-SPGC-2023 ADReSS-M Challenge Task, which aims to investigate which acoustic features can be generalized and transferred across languages for Alzheimer's Disease (AD) prediction. The challenge consists…

Computation and Language · Computer Science 2025-01-14 Xuchu Chen , Yu Pu , Jinpeng Li , Wei-Qiang Zhang

Alzheimer's disease and related dementias (ADRD) affect one in five adults over 60, yet more than half of individuals with cognitive decline remain undiagnosed. Speech-based assessments show promise for early detection, as phonetic motor…

The speech of people with Parkinson's Disease (PD) has been shown to hold important clues about the presence and progression of the disease. We investigate the factors based on which humans experts make judgments of the presence of disease…

Background: Depression is a major public health concern, affecting an estimated five percent of the global population. Early and accurate diagnosis is essential to initiate effective treatment, yet recognition remains challenging in many…

Signal Processing · Electrical Eng. & Systems 2025-11-21 Jana Weber , Marcel Weber , Juan Miguel Lopez Alcaraz

Dementia is a collection of symptoms associated with impaired cognition and impedes everyday normal functioning. Dementia, with Alzheimer's disease constituting its most common type, is highly complex in terms of etiology and…

Cognitive decline is a sign of Alzheimer's disease (AD), and there is evidence that tracking a person's eye movement, using eye tracking devices, can be used for the automatic identification of early signs of cognitive decline. However,…

Computation and Language · Computer Science 2019-10-02 Bahman Mirheidari , Yilin Pan , Traci Walker , Markus Reuber , Annalena Venneri , Daniel Blackburn , Heidi Christensen

Alzheimer's Disease (AD) is the world's leading neurodegenerative disease, which often results in communication difficulties. Analysing speech can serve as a diagnostic tool for identifying the condition. The recent ADReSS challenge…

Computation and Language · Computer Science 2024-07-24 Lucía Gómez-Zaragozá , Simone Wills , Cristian Tejedor-Garcia , Javier Marín-Morales , Mariano Alcañiz , Helmer Strik

Alzheimer's disease is a progressive neurological disorder characterized by cognitive impairment and memory loss. With the increasing aging population, the incidence of AD is continuously rising, making early diagnosis and intervention an…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Guian Fang , Mengsha Liu , Yi Zhong , Zhuolin Zhang , Jiehui Huang , Zhenchao Tang , Calvin Yu-Chian Chen

Depression has been the leading cause of mental-health illness worldwide. Major depressive disorder (MDD), is a common mental health disorder that affects both psychologically as well as physically which could lead to loss of lives. Due to…

Computer Vision and Pattern Recognition · Computer Science 2019-09-05 Anupama Ray , Siddharth Kumar , Rutvik Reddy , Prerana Mukherjee , Ritu Garg

During psychiatric assessment, clinicians observe not only what patients report, but important nonverbal signs such as tone, speech rate, fluency, responsiveness, and body language. Weighing and integrating these different information…

Machine Learning · Computer Science 2025-12-19 Agnes Norbury , George Fairs , Alexandra L. Georgescu , Matthew M. Nour , Emilia Molimpakis , Stefano Goria

Alzheimers Disease AD is an acute neuro disease that degenerates the brain cells and thus leads to memory loss progressively. It is a fatal brain disease that mostly affects the elderly. It steers the decline of cognitive and biological…

Machine Learning · Computer Science 2023-04-20 Nair Bini Balakrishnan , P. S. Sreeja , Jisha Jose Panackal
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