Prohlížení dle předmětu "Dysarthria"
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Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study
(Elsevier, 2022)Background: An early diagnosis together with an accurate disease progression monitoring of multiple sclerosis is an important component of successful disease management. Prior studies have established that multiple sclerosis ... -
Automated Vowel Articulation Analysis in Connected Speech Among Progressive Neurological Diseases, Dysarthria Types, and Dysarthria Severities
(AMER SPEECH-LANGUAGE-HEARING ASSOC, 2023)Purpose: Although articulatory impairment represents distinct speech characteristics in most neurological diseases affecting movement, methods allowing automated assessments of articulation deficits from the connected ... -
Automatic detection of Parkinson's disease in running speech spoken in three different languages
(Acoustical Society of America, 2016)The aim of this study is the analysis of continuous speech signals of people with Parkinson's disease (PD) considering recordings in different languages (Spanish, German, and Czech). A method for the characterization of ... -
Detecting speech disorders in early Parkinson’s disease by acoustic analysis
(2018)This interdisciplinary habilitation thesis is focused on the design of the feasible algorithms and analytical methods based on digital signal processing and advanced statistical analysis that are sensitive to capture ... -
Speech Biomarkers in Rapid Eye Movement Sleep Behavior Disorder and Parkinson Disease
(John Wiley & Sons, 2021)Objective: This multilanguage study used simple speech recording and high-end pattern analysis to provide sensitive and reliable noninvasive biomarkers of prodromal versus manifest alpha-synucleinopathy in patients with ...