Disease Delineation for Multiple Sclerosis, Friedreich Ataxia, and Healthy Controls Using Supervised Machine Learning on Speech Acoustics
BG Schultz, Z Joukhader, U Nattala… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Neurodegenerative disease often affects speech. Speech acoustics can be used as
objective clinical markers of pathology. Previous investigations of pathological speech have …
objective clinical markers of pathology. Previous investigations of pathological speech have …
The classification of neurodegenerative disease from acoustic speech data
Neurodegenerative diseases often affect speech. Speech acoustics can be used as
objective clinical markers of pathology. Previous investigations of pathological speech have …
objective clinical markers of pathology. Previous investigations of pathological speech have …
Cognitive and acoustic speech and language patterns occurring in different neurodegenerative disorders while performing neuropsychological tests
M Iglesias, A Favaro, C Motley, ES Oh… - 2022 IEEE Signal …, 2022 - ieeexplore.ieee.org
In the last decade, improvements in automated speech processing, powered by signal
processing and machine learning, has led to new approaches for medical assessment …
processing and machine learning, has led to new approaches for medical assessment …
Linguistic changes in neurodegenerative diseases relate to clinical symptoms
M Gumus, M Koo, CM Studzinski, A Bhan… - Frontiers in …, 2024 - frontiersin.org
Background The detection and characterization of speech changes may help in the
identification and monitoring of neurodegenerative diseases. However, there is limited …
identification and monitoring of neurodegenerative diseases. However, there is limited …
Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study
Background An early diagnosis together with an accurate disease progression monitoring of
multiple sclerosis is an important component of successful disease management. Prior …
multiple sclerosis is an important component of successful disease management. Prior …
Learning language and acoustic models for identifying Alzheimer's dementia from speech
Alzheimer's dementia (AD) is a chronic neurodegenerative illness that manifests in a
gradual decline of cognitive function. Early identification of AD is essential for managing the …
gradual decline of cognitive function. Early identification of AD is essential for managing the …
Automated analysis of speech disorders in neurodegenerative diseases
J Hlavnička - 2019 - search.proquest.com
Automated vocal biomarkers are becoming increasingly desired by speech pathologists and
neurologists in order to extend current noninvasive measures of speech motor abnormalities …
neurologists in order to extend current noninvasive measures of speech motor abnormalities …
[图书][B] Analysis of Pathological Speech Signals
T Arias-Vergara - 2022 - books.google.com
This book addresses the automatic analysis of speech disorders resulting from a clinical
condition (Parkinson's disease and hearing loss) or the natural aging process. For …
condition (Parkinson's disease and hearing loss) or the natural aging process. For …
Artificial intelligence tools to evaluate language and speech patterns in Alzheimer's disease
Background Speech and language problems are one of the earliest signs of
neurodegenerative diseases including Alzheimer's disease (AD), but they are often difficult …
neurodegenerative diseases including Alzheimer's disease (AD), but they are often difficult …
Repeatability of commonly used speech and language features for clinical applications
GM Stegmann, S Hahn, J Liss, J Shefner… - Digital …, 2020 - karger.com
Introduction: Changes in speech have the potential to provide important information on the
diagnosis and progression of various neurological diseases. Many researchers have relied …
diagnosis and progression of various neurological diseases. Many researchers have relied …
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