Current practices in voice data collection and limitations to voice AI research: a national survey

E Evangelista, R Kale, D McCutcheon… - The …, 2024 - Wiley Online Library
Introduction Accuracy and validity of voice AI algorithms rely on substantial quality voice
data. Although commensurable amounts of voice data are captured daily in voice centers …

[HTML][HTML] Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study

T Watase, Y Omiya, S Tokuno - JMIR Biomedical …, 2023 - biomedeng.jmir.org
Background: In Japan, individuals with mild COVID-19 illness previously required to be
monitored in designated areas and were hospitalized only if their condition worsened to …

Voice-based SVM Model Reliability for Identifying Parkinson's Disease

ND Pah, V Indrawati, DK Kumar - IEEE Access, 2023 - ieeexplore.ieee.org
One of the possibilities for developing non-invasive computerized diagnostic tools for
Parkinson's disease (PD) is to detect changes in the voice, known as Parkinsonian …

[HTML][HTML] Digital voice-based biomarker for monitoring respiratory quality of life: findings from the colive voice study

V Despotovic, A Elbeji, K Fuenfgeld… - … Signal Processing and …, 2024 - Elsevier
Regular monitoring of respiratory quality of life (RQoL) is essential in respiratory healthcare,
facilitating prompt diagnosis and tailored treatment for chronic respiratory diseases. Voice …

The Change of Vocal Tract Length in People with Parkinson's Disease

ND Pah, MA Motin, GC Oliveira… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Hypokinetic dysarthria is one of the early symptoms of Parkinson's disease (PD) and has
been proposed for early detection and also for monitoring of the progression of the disease …

VADDOT: Vocal Analysis to Detect Diseases of Throat

I Senapati, A Pradhan, L Senapati… - … Intelligence in Health …, 2023 - ieeexplore.ieee.org
Pharyngeal diseases, or throat diseases, are rampant-owing to pollution, allergies, and
pathogens. The current diagnostic practices for such diseases are invasive, time-taking, and …

Analyzing the Probability Density Distribution of Sustained Phoneme Voice Features in the PC-GITA Dataset for Parkinson's Disease Identification

ND Pah, V Indrawati, DK Kumar, MA Motin - 2023 - repository.ubaya.ac.id
One of the possibilities for developing computerized diag-nostic tools for Parkinson's
disease (PD) is to utilize the voice change known as Parkinsonian dysarthria. Voice features …

MXRFCS: Design of an augmented Multidomain XRay Feature representation model for identification of CoVID Severity levels

S Thombre, L Malik, S Kumar - 2023 - researchsquare.com
The COVID-19 pandemic has placed an enormous strain on healthcare systems worldwide,
leading to a need for more efficient methods of identifying the severity of COVID-19 patients …

Extracción de características estadísticas en el dominio frecuencial de fonemas en pacientes de covid-19

BJL Zavala, CR Doñate, LML Carrillo - 2024 - repositorio.ugto.mx
La pandemia del covid-19 fue un antes y después en nuestra sociedad actual, pues
complico la capacidad de atención, detección y tratamiento de la enfermedad en los …

[PDF][PDF] DTW 指標とマハラノビス距離閾値を用いた音声バイオマーカーによるCOVID-19 患者の重症度分類: 実現可能性の調査

渡瀬晃久 - kuhs.repo.nii.ac.jp
Kanagawa University of Human Services Graduate School of Health Innovation [Doctoral
Dissertation] Page 1 Kanagawa University of Human Services Graduate School of Health Innovation …