Systematic review of machine learning approaches for detecting developmental stuttering
A systematic review of the literature on statistical and machine learning schemes for
identifying symptoms of developmental stuttering from audio recordings is reported. Twenty …
identifying symptoms of developmental stuttering from audio recordings is reported. Twenty …
[HTML][HTML] Exploring huntington's disease diagnosis via artificial intelligence models: a comprehensive review
S Ganesh, T Chithambaram, NR Krishnan, DR Vincent… - Diagnostics, 2023 - mdpi.com
Huntington's Disease (HD) is a devastating neurodegenerative disorder characterized by
progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early …
progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early …
Automated dysarthria severity classification: A study on acoustic features and deep learning techniques
Assessing the severity level of dysarthria can provide an insight into the patient's
improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech …
improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech …
[HTML][HTML] Privacy implications of voice and speech analysis–information disclosure by inference
Internet-connected devices, such as smartphones, smartwatches, and laptops, have become
ubiquitous in modern life, reaching ever deeper into our private spheres. Among the sensors …
ubiquitous in modern life, reaching ever deeper into our private spheres. Among the sensors …
Speech as a biomarker: opportunities, interpretability, and challenges
Purpose: Over the past decade, the signal processing and machine learning literature has
demonstrated notable advancements in automated speech processing with the use of …
demonstrated notable advancements in automated speech processing with the use of …
Detection of speech impairments using cepstrum, auditory spectrogram and wavelet time scattering domain features
A Lauraitis, R Maskeliūnas, R Damaševičius… - IEEE …, 2020 - ieeexplore.ieee.org
We adopt Bidirectional Long Short-Term Memory (BiLSTM) neural network and Wavelet
Scattering Transform with Support Vector Machine (WST-SVM) classifier for detecting …
Scattering Transform with Support Vector Machine (WST-SVM) classifier for detecting …
[HTML][HTML] Feasibility of a continuous, multi-sensor remote health monitoring approach in persons living with neurodegenerative disease
Background Remote health monitoring with wearable sensor technology may positively
impact patient self-management and clinical care. In individuals with complex health …
impact patient self-management and clinical care. In individuals with complex health …
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …
various wearable sensors and corresponding data analysis can be of great support for …
Dysarthria severity assessment using squeeze-and-excitation networks
Automated dysarthria severity identification can aid clinicians in monitoring the patient's
progress, and can improve the performance of dysarthric speech recognition systems. In this …
progress, and can improve the performance of dysarthric speech recognition systems. In this …
CNN-based severity prediction of neurodegenerative diseases using gait data
Ç Berke Erdaş, E Sümer, S Kibaroğlu - Digital Health, 2022 - journals.sagepub.com
Neurodegenerative diseases occur because of degeneration in brain cells but can manifest
as impairment of motor functions. One of the side effects of this impairment is an abnormality …
as impairment of motor functions. One of the side effects of this impairment is an abnormality …