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 …
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
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 …
monitored in designated areas and were hospitalized only if their condition worsened to …
Voice-based SVM Model Reliability for Identifying Parkinson's Disease
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 …
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 …
facilitating prompt diagnosis and tailored treatment for chronic respiratory diseases. Voice …
The Change of Vocal Tract Length in People with Parkinson's Disease
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 …
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 …
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
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 …
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
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 …
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 …
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 …
Dissertation] Page 1 Kanagawa University of Human Services Graduate School of Health Innovation …