[HTML][HTML] Ten years of research on automatic voice and speech analysis of people with Alzheimer's disease and mild cognitive impairment: a systematic review article
I Martínez-Nicolás, TE Llorente… - Frontiers in …, 2021 - frontiersin.org
Background: The field of voice and speech analysis has become increasingly popular over
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …
[HTML][HTML] Evaluation of speech-based digital biomarkers: review and recommendations
Speech represents a promising novel biomarker by providing a window into brain health, as
shown by its disruption in various neurological and psychiatric diseases. As with many novel …
shown by its disruption in various neurological and psychiatric diseases. As with many novel …
[HTML][HTML] Deep learning approach for early detection of Alzheimer's disease
Alzheimer's disease (AD) is a chronic, irreversible brain disorder, no effective cure for it till
now. However, available medicines can delay its progress. Therefore, the early detection of …
now. However, available medicines can delay its progress. Therefore, the early detection of …
[PDF][PDF] Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer's Disease.
Disfluencies and language problems in Alzheimer's Disease can be naturally modeled by
fine-tuning Transformer-based pre-trained language models such as BERT and ERNIE …
fine-tuning Transformer-based pre-trained language models such as BERT and ERNIE …
[HTML][HTML] Comparing pre-trained and feature-based models for prediction of Alzheimer's disease based on speech
Introduction: Research related to the automatic detection of Alzheimer's disease (AD) is
important, given the high prevalence of AD and the high cost of traditional diagnostic …
important, given the high prevalence of AD and the high cost of traditional diagnostic …
[HTML][HTML] Classifying Alzheimer's disease using audio and text-based representations of speech
R Haulcy, J Glass - Frontiers in Psychology, 2021 - frontiersin.org
Alzheimer's Disease (AD) is a form of dementia that affects the memory, cognition, and motor
skills of patients. Extensive research has been done to develop accessible, cost-effective …
skills of patients. Extensive research has been done to develop accessible, cost-effective …
Computerized analysis of speech and voice for Parkinson's disease: A systematic review
Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …
(PD). This study has summarized the literature related to speech and voice in detecting PD …
[HTML][HTML] Voice-based conversational agents for the prevention and management of chronic and mental health conditions: systematic literature review
Background Chronic and mental health conditions are increasingly prevalent worldwide. As
devices in our everyday lives offer more and more voice-based self-service, voice-based …
devices in our everyday lives offer more and more voice-based self-service, voice-based …
[HTML][HTML] Speech-and language-based classification of Alzheimer's disease: a systematic review
I Vigo, L Coelho, S Reis - Bioengineering, 2022 - mdpi.com
Background: Alzheimer's disease (AD) has paramount importance due to its rising
prevalence, the impact on the patient and society, and the related healthcare costs …
prevalence, the impact on the patient and society, and the related healthcare costs …
Multimodal inductive transfer learning for detection of Alzheimer's dementia and its severity
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 …
rapidly, with a global economic burden of nearly a trillion dollars. This calls for scalable, cost …