Multimodal technologies for remote assessment of neurological and mental health
V Ramanarayanan - Journal of Speech, Language, and Hearing …, 2024 - pubs.asha.org
Purpose: Automated remote assessment and monitoring of patients' neurological and
mental health is increasingly becoming an essential component of the digital clinic and …
mental health is increasingly becoming an essential component of the digital clinic and …
Characterizing dysarthria diversity for automatic speech recognition: A tutorial from the clinical perspective
Despite significant advancements in automatic speech recognition (ASR) technology, even
the best performing ASR systems are inadequate for speakers with impaired speech. This …
the best performing ASR systems are inadequate for speakers with impaired speech. This …
Multimodal speech biomarkers for remote monitoring of ALS disease progression
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that
severely impacts affected persons' speech and motor functions, yet early detection and …
severely impacts affected persons' speech and motor functions, yet early detection and …
A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease
Amyotrophic lateral sclerosis (ALS) is the most common subtype of motor neuron disease
(MND). The current gold-standard measure of progression is the ALS Functional Rating …
(MND). The current gold-standard measure of progression is the ALS Functional Rating …
Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
Advances in wearable sensing and mobile computing have enabled the collection of health
and well-being data outside of traditional laboratory and hospital settings, paving the way for …
and well-being data outside of traditional laboratory and hospital settings, paving the way for …
Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech
Background Integration of speech into healthcare has intensified privacy concerns due to its
potential as a non-invasive biomarker containing individual biometric information. In …
potential as a non-invasive biomarker containing individual biometric information. In …
A multimodal dialog approach to mental state characterization in clinically depressed, anxious, and suicidal populations
Background The rise of depression, anxiety, and suicide rates has led to increased demand
for telemedicine-based mental health screening and remote patient monitoring (RPM) …
for telemedicine-based mental health screening and remote patient monitoring (RPM) …
An introduction to machine learning for speech-language pathologists: concepts, terminology, and emerging applications
Purpose: The purpose of this article is to orient both clinicians and researchers to machine
learning (ML) approaches as applied to the field of speech-language pathology. We first …
learning (ML) approaches as applied to the field of speech-language pathology. We first …
The effect of speech pathology on automatic speaker verification: a large-scale study
Navigating the challenges of data-driven speech processing, one of the primary hurdles is
accessing reliable pathological speech data. While public datasets appear to offer solutions …
accessing reliable pathological speech data. While public datasets appear to offer solutions …
[PDF][PDF] Towards scalable remote assessment of mild cognitive impairment via multimodal dialog
O Roesler, J Liscombe, M Neumann… - Proceedings of …, 2024 - isca-archive.org
Early assessment of mild cognitive impairment (MCI) has the potential to expedite
interventions and slow disease progress for people at risk of develo** dementia. We …
interventions and slow disease progress for people at risk of develo** dementia. We …