AIMC Topic: Voice Disorders
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Performance of Acoustic Measures for the Discrimination Among Healthy, Rough, Breathy, and Strained Voices Using the Feedforward Neural Network.
Journal of voice : official journal of the Voice Foundation
Aug 23, 2022
OBJECTIVE: To identify and evaluate the best set of acoustic measures to discriminate among healthy, rough, breathy, and strained voices.
Middle Aged
Case-Control Studies
Adolescent
Predictive Value of Tests
Young Adult
Adult
Male
Voice Disorders
Speech Production Measurement
Voice Quality
Feedforward Neural Networks
Signal Processing, Computer-Assisted
Acoustics
Sound Spectrography
Speech Acoustics
Humans
Neural Networks, Computer
Algorithms
Female
Reproducibility of Results
Aged
A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High-Speed Videoendoscopy.
Journal of speech, language, and hearing research : JSLHR
May 23, 2022
PURPOSE: Voice disorders are best assessed by examining vocal fold dynamics in connected speech. This can be achieved using flexible laryngeal high-speed videoendoscopy (HSV), which enables us to study vocal fold mechanics with high temporal details....
The Effect of the MFCC Frame Length in Automatic Voice Pathology Detection.
Journal of voice : official journal of the Voice Foundation
Apr 27, 2022
Automatic voice pathology detection is a research topic, which has gained increasing interest recently. Although methods based on deep learning are becoming popular, the classical pipeline systems based on a two-stage architecture consisting of a fea...
Neurogenerative Disease Diagnosis in Cepstral Domain Using MFCC with Deep Learning.
Computational and mathematical methods in medicine
Apr 4, 2022
Because underlying cognitive and neuromuscular activities regulate speech signals, biomarkers in the human voice can provide insight into neurological illnesses. Multiple motor and nonmotor aspects of neurologic voice disorders arise from an underlyi...
Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients.
Journal of voice : official journal of the Voice Foundation
Nov 26, 2021
Many virological tests have been implemented during the Coronavirus Disease 2019 (COVID-19) pandemic for diagnostic purposes, but they appear unsuitable for screening purposes. Furthermore, current screening strategies are not accurate enough to effe...
Identifying individuals with recent COVID-19 through voice classification using deep learning.
Scientific reports
Sep 27, 2021
Recently deep learning has attained a breakthrough in model accuracy for the classification of images due mainly to convolutional neural networks. In the present study, we attempted to investigate the presence of subclinical voice feature alteration ...
A Deep Learning Algorithm for Objective Assessment of Hypernasality in Children With Cleft Palate.
IEEE transactions on bio-medical engineering
Sep 20, 2021
OBJECTIVES: Evaluation of hypernasality requires extensive perceptual training by clinicians and extending this training on a large scale internationally is untenable; this compounds the health disparities that already exist among children with cleft...
Comparative Analysis of CNN and RNN for Voice Pathology Detection.
BioMed research international
Apr 14, 2021
Diagnosis on the basis of a computerized acoustic examination may play an incredibly important role in early diagnosis and in monitoring and even improving effective pathological speech diagnostics. Various acoustic metrics test the health of the voi...
Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings.
Scientific reports
Jun 29, 2020
In voice research and clinical assessment, many objective parameters are in use. However, there is no commonly used set of parameters that reflect certain voice disorders, such as functional dysphonia (FD); i.e. disorders with no visible anatomical c...
Discrimination of "hot potato voice" caused by upper airway obstruction utilizing a support vector machine.
The Laryngoscope
Nov 28, 2018
OBJECTIVES/HYPOTHESIS: "Hot potato voice" (HPV) is a thick, muffled voice caused by pharyngeal or laryngeal diseases characterized by severe upper airway obstruction, including acute epiglottitis and peritonsillitis. To develop a method for determini...
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