A systematic review and narrative analysis of digital speech biomarkers in Motor Neuron Disease

M Bowden, E Beswick, J Tam, D Perry, A Smith… - NPJ digital …, 2023 - nature.com
Abstract Motor Neuron Disease (MND) is a progressive and largely fatal neurodegeneritve
disorder with a lifetime risk of approximately 1 in 300. At diagnosis, up to 25% of people with …

CAPTURE ALS: the comprehensive analysis platform to understand, remedy and eliminate ALS

V Picher-Martel, C Magnussen, M Blais… - … Lateral Sclerosis and …, 2023 - Taylor & Francis
The absence of disease modifying treatments for amyotrophic lateral sclerosis (ALS) is in
large part a consequence of its complexity and heterogeneity. Deep clinical and biological …

[PDF][PDF] Automatic Early Detection of Amyotrophic Lateral Sclerosis from Intelligible Speech Using Convolutional Neural Networks.

KH An, MJ Kim, K Teplansky, JR Green… - Interspeech, 2018 - researchgate.net
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurodegenerative disease of
the motor system that leads to the impairment of speech and swallowing functions. The lack …

Detection of amyotrophic lateral sclerosis (ALS) via acoustic analysis

R Norel, M Pietrowicz, C Agurto, S Rishoni, G Cecchi - bioRxiv, 2018 - biorxiv.org
ABSTRACT ALS is a fatal neurodegenerative disease with no cure. Experts typically
measure disease progression via the ALSFRS-R score, which includes measurements of …

Kinematic features of jaw and lips distinguish symptomatic from presymptomatic stages of bulbar decline in amyotrophic lateral sclerosis

A Bandini, JR Green, J Wang, TF Campbell… - Journal of Speech …, 2018 - ASHA
Purpose The goals of this study were to (a) classify speech movements of patients with
amyotrophic lateral sclerosis (ALS) in presymptomatic and symptomatic phases of bulbar …

Voice analytics in the wild: Validity and predictive accuracy of common audio-recording devices

F Busquet, F Efthymiou, C Hildebrand - Behavior Research Methods, 2024 - Springer
The use of voice recordings in both research and industry practice has increased
dramatically in recent years—from diagnosing a COVID-19 infection based on patients' self …

Automatic prediction of intelligible speaking rate for individuals with ALS from speech acoustic and articulatory samples

J Wang, PV Kothalkar, M Kim, A Bandini… - … journal of speech …, 2018 - Taylor & Francis
Purpose: This research aimed to automatically predict intelligible speaking rate for
individuals with Amyotrophic Lateral Sclerosis (ALS) based on speech acoustic and …

Defining and distinguishing infant behavioral states using acoustic cry analysis: is colic painful?

JJ Parga, S Lewin, J Lewis, D Montoya-Williams… - Pediatric …, 2020 - nature.com
Background To characterize acoustic features of an infant's cry and use machine learning to
provide an objective measurement of behavioral state in a cry-translator. To apply the cry …

Validating automatic diadochokinesis analysis methods across dysarthria severity and syllable task in amyotrophic lateral sclerosis

C Tanchip, DL Guarin, S McKinlay, C Barnett… - Journal of Speech …, 2022 - ASHA
Purpose: Oral diadochokinesis (DDK) is a standard dysarthria assessment task. To extract
automatic and semi-automatic DDK measurements, numerous DDK analysis algorithms …

Video-based facial movement analysis in the assessment of bulbar amyotrophic lateral sclerosis: clinical validation

DL Guarin, B Taati, A Abrahao, L Zinman… - Journal of Speech …, 2022 - ASHA
Purpose: Facial movement analysis during facial gestures and speech provides clinically
useful information for assessing bulbar amyotrophic lateral sclerosis (ALS). However …