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Alzheimer's disease (AD) is a progressive neurological disorder, meaning that the symptoms develop gradually throughout the years. It is also the main cause of dementia, which affects memory, thinking skills, and mental abilities. Nowadays,…

Computation and Language · Computer Science 2022-11-09 Loukas Ilias , Dimitris Askounis , John Psarras

Alzheimer's disease (AD) is the main cause of dementia which is accompanied by loss of memory and may lead to severe consequences in peoples' everyday life if not diagnosed on time. Very few works have exploited transformer-based networks…

Computation and Language · Computer Science 2022-08-15 Loukas Ilias , Dimitris Askounis

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia, affecting memory, reasoning, communication, and daily functioning. Early diagnosis is particularly important, as timely intervention may…

Sound · Computer Science 2026-05-26 Loukas Ilias , Dimitris Askounis

Alzheimer's Dementia (AD) is an incurable, debilitating, and progressive neurodegenerative condition that affects cognitive function. Early diagnosis is important as therapeutics can delay progression and give those diagnosed vital time.…

Machine Learning · Computer Science 2023-02-28 Thomas Searle , Zina Ibrahim , Richard Dobson

Alzheimer's disease (AD) constitutes a complex neurocognitive disease and is the main cause of dementia. Although many studies have been proposed targeting at diagnosing dementia through spontaneous speech, there are still limitations.…

Computation and Language · Computer Science 2023-08-24 Loukas Ilias , Dimitris Askounis

Alzheimer's Disease is the most common form of dementia. Automatic detection from speech could help to identify symptoms at early stages, so that preventive actions can be carried out. This research is a contribution to the ADReSSo…

Computation and Language · Computer Science 2021-11-01 Joan Codina-Filbà , Guillermo Cámbara , Jordi Luque , Mireia Farrús

Alzheimer's disease is estimated to affect around 50 million people worldwide and is rising rapidly, with a global economic burden of nearly a trillion dollars. This calls for scalable, cost-effective, and robust methods for detection of…

Audio and Speech Processing · Electrical Eng. & Systems 2020-09-03 Utkarsh Sarawgi , Wazeer Zulfikar , Nouran Soliman , Pattie Maes

As the aging of society continues to accelerate, Alzheimer's Disease (AD) has received more and more attention from not only medical but also other fields, such as computer science, over the past decade. Since speech is considered one of…

Robotics · Computer Science 2022-11-17 Yuanchao Li , Catherine Lai , Divesh Lala , Koji Inoue , Tatsuya Kawahara

Reliable detection of the prodromal stages of Alzheimer's disease (AD) remains difficult even today because, unlike other neurocognitive impairments, there is no definitive diagnosis of AD in vivo. In this context, existing research has…

Machine Learning · Computer Science 2021-08-03 Amish Mittal , Sourav Sahoo , Arnhav Datar , Juned Kadiwala , Hrithwik Shalu , Jimson Mathew

Alzheimer's disease (AD) is a common form of dementia that severely impacts patient health. As AD impairs the patient's language understanding and expression ability, the speech of AD patients can serve as an indicator of this disease. This…

Audio and Speech Processing · Electrical Eng. & Systems 2023-07-07 Hongmin Cai , Xiaoke Huang , Zhengliang Liu , Wenxiong Liao , Haixing Dai , Zihao Wu , Dajiang Zhu , Hui Ren , Quanzheng Li , Tianming Liu , Xiang Li

Automatic detection of Alzheimer's dementia by speech processing is enhanced when features of both the acoustic waveform and the content are extracted. Audio and text transcription have been widely used in health-related tasks, as spectral…

Audio and Speech Processing · Electrical Eng. & Systems 2020-08-12 Edward L. Campbell , Laura Docío-Fernández , Javier Jiménez Raboso , Carmen García-Mateo

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss. Early detection of AD is crucial for effective intervention and treatment. In this paper, we propose a novel approach…

Audio and Speech Processing · Electrical Eng. & Systems 2025-04-29 Yu Pu , Wei-Qiang Zhang

Alzheimer's Disease (AD) is nowadays the most common form of dementia, and its automatic detection can help to identify symptoms at early stages, so that preventive actions can be carried out. Moreover, non-intrusive techniques based on…

Computation and Language · Computer Science 2020-11-21 Mireia Farrús , Joan Codina-Filbà

Alzheimer's disease (AD) is a progressive neurodegenerative disease most often associated with memory deficits and cognitive decline. With the aging population, there has been much interest in automated methods for cognitive impairment…

Audio and Speech Processing · Electrical Eng. & Systems 2023-03-07 Bastiaan Tamm , Rik Vandenberghe , Hugo Van hamme

Dementia is a syndrome characterised by the decline of different cognitive abilities. Alzheimer's Disease (AD) is the most common dementia affecting cognitive domains such as memory and learning, perceptual-motion or executive function.…

Computer Vision and Pattern Recognition · Computer Science 2018-10-26 Juan Manuel Fernández Montenegro

Alzheimer's disease (AD) is a neurodegenerative disease that affects nearly 50 million individuals across the globe and is one of the leading causes of deaths globally. It is projected that by 2050, the number of people affected by the…

Machine Learning · Computer Science 2021-10-26 Yash Kumar , Piyush Maheshwari , Shreyansh Joshi , Veeky Baths

The detection of Alzheimer's disease (AD) from spontaneous speech has attracted increasing attention while the sparsity of training data remains an important issue. This paper handles the issue by knowledge transfer, specifically from both…

Computation and Language · Computer Science 2024-04-02 Ziyun Cui , Wen Wu , Wei-Qiang Zhang , Ji Wu , Chao Zhang

Alzheimer's disease (AD) is a neurodegenerative disorder with no known cure that affects tens of millions of people worldwide. Early detection of AD is critical for timely intervention to halt or slow the progression of the disease. In this…

Machine Learning · Computer Science 2025-07-08 Mahdi Moghaddami , Clayton Schubring , Mohammad-Reza Siadat

This paper is a submission to the Alzheimer's Dementia Recognition through Spontaneous Speech (ADReSS) challenge, which aims to develop methods that can assist in the automated prediction of severity of Alzheimer's Disease from speech data.…

Machine Learning · Computer Science 2021-06-18 Morteza Rohanian , Julian Hough , Matthew Purver

Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide. In the absence of effective treatment options, early diagnosis is crucial for initiating management strategies to delay disease onset and slow down…

Machine Learning · Computer Science 2025-07-08 Saeed Jamshidiha , Alireza Rezaee , Farshid Hajati , Mojtaba Golzan , Raymond Chiong
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