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Speech pause is an effective biomarker in dementia detection. Recent deep learning models have exploited speech pauses to achieve highly accurate dementia detection, but have not exploited the interpretability of speech pauses, i.e., what…

Computation and Language · Computer Science 2021-11-16 Youxiang Zhu , Bang Tran , Xiaohui Liang , John A. Batsis , Robert M. Roth

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease affecting 50 million people worldwide. Low-cost, accurate identification of key markers of AD is crucial for timely diagnosis and intervention. Language impairment is one…

Computation and Language · Computer Science 2025-05-27 Tingyu Mo , Jacqueline C. K. Lam , Victor O. K. Li , Lawrence Y. L. Cheung

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

In this paper, we combined linguistic complexity and (dis)fluency features with pretrained language models for the task of Alzheimer's disease detection of the 2021 ADReSSo (Alzheimer's Dementia Recognition through Spontaneous Speech)…

Computation and Language · Computer Science 2021-06-17 Yu Qiao , Xuefeng Yin , Daniel Wiechmann , Elma Kerz

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

In light of the growing proportion of older individuals in our society, the timely diagnosis of Alzheimer's disease has become a crucial aspect of healthcare. In this paper, we propose a non-invasive and cost-effective detection method…

Human-Computer Interaction · Computer Science 2025-01-03 Tian Zheng , Xurong Xie , Xiaolan Peng , Hui Chen , Feng Tian

Dementia is a group of irreversible, chronic, and progressive neurodegenerative disorders resulting in impaired memory, communication, and thought processes. In recent years, clinical research advances in brain aging have focused on the…

Computation and Language · Computer Science 2021-02-25 Swati Padhee , Anurag Illendula , Megan Sadler , Valerie L. Shalin , Tanvi Banerjee , Krishnaprasad Thirunarayan , William L. Romine

Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care to delay further progression. This paper presents the development of a state-of-the-art Conformer based speech recognition system built on the…

Audio and Speech Processing · Electrical Eng. & Systems 2022-06-28 Tianzi Wang , Jiajun Deng , Mengzhe Geng , Zi Ye , Shoukang Hu , Yi Wang , Mingyu Cui , Zengrui Jin , Xunying Liu , Helen Meng

Alzheimer's Disease is a devastating neurological disorder that is increasingly affecting the elderly population. Early and accurate detection of Alzheimer's is crucial for providing effective treatment and support for patients and their…

Image and Video Processing · Electrical Eng. & Systems 2023-04-27 Krishna Mahapatra , Selvakumar R

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 (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

Dementia is associated with various cognitive impairments and typically manifests only after significant progression, making intervention at this stage often ineffective. To address this issue, the Prediction and Recognition of Cognitive…

Early detection of Alzheimer's Dementia (AD) and Mild Cognitive Impairment (MCI) is critical for timely intervention, yet current diagnostic approaches remain resource-intensive and invasive. Speech, encompassing both acoustic and…

Alzheimers disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimers disease promotes brain shrinkage, ultimately leading to dementia. Dementia diagnosis typically takes 2.8 to 4.4 years after…

Timely and accurate assessment of cognitive impairment remains a major unmet need. Speech biomarkers offer a scalable, non-invasive, cost-effective solution for automated screening. However, the clinical utility of machine learning (ML)…

Alzheimer's disease (AD) is an irreversible brain disease that can dramatically reduce quality of life, most commonly manifesting in older adults and eventually leading to the need for full-time care. Early detection is fundamental to…

Computation and Language · Computer Science 2019-06-14 Flavio Di Palo , Natalie Parde

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

Dementia, a prevalent neurodegenerative condition, is a major manifestation of Alzheimer's disease (AD). As the condition progresses from mild to severe, it significantly impairs the individual's ability to perform daily tasks…

Machine Learning · Computer Science 2023-11-06 Md Gulzar Hussain , Ye Shiren

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

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